# Specky > Specky is the AI Product Manager and product memory for modern product teams — an AI-native product development environment for PMs, founders, designers, and teams shipping with Claude or Cursor. One workspace where every signal feeds a living Product Graph, and reviewable AI workflows draft PRDs, generate tickets, run JTBD user research, and stage work for human review. Specky is not another point solution. It is the intelligence layer that sits on top of Slack, Jira, Gong, Linear, GitHub, and other PM tools — connecting them into a unified Product Graph so reviewable AI workflows can carry context across them. ## Core Capabilities - [Product Graph](https://www.specky.space/docs/product-graph): A connected knowledge graph where every signal from Slack, Jira, Gong, GitHub, and user research becomes a searchable node with relationships. Context compounds over time. - [Alex Research Agent](https://www.specky.space/docs/alex-research): A built-in AI researcher that conducts Jobs-to-be-Done interviews via shareable campaign links. Themes, sentiment, and NPS flow into the Product Graph for review. - [PRD Editor](https://www.specky.space/docs/prd-editor): AI-generated product requirements documents with inline citations from real signals. Review citations and unsupported assumptions before sharing. - [PM Inbox & Scheduled Workflows](https://www.specky.space/docs/cookbook-overnight-agent): Wake up to drafted PRDs, generated tickets, and staged research campaigns — each with a confidence score. Auto-PRD, Auto-Tickets, Auto-Campaign, Stakeholder Briefings, and Competitive Intel — AI workflows that work on a schedule and return drafts for review. Review, approve, ship. ## Strategy & Planning - [Opportunity Tree](https://www.specky.space/docs/opportunity-tree): Map outcomes to opportunities to solutions using Teresa Torres' framework, with AI-powered evidence scoring. - [RICE Prioritisation](https://www.specky.space): Score features with AI-suggested Reach, Impact, Confidence, and Effort connected to real signal evidence. - [OKRs](https://www.specky.space): Quarterly objectives with key results linked to your Product Graph. - [Decision Log](https://www.specky.space): Record strategic decisions with rationale, outcomes, and linked evidence. - [Strategy Canvas](https://www.specky.space): Track assumptions, risks, failure modes, and mitigations. - [Stakeholder Map](https://www.specky.space): Influence/interest matrix with stance tracking — from champion to blocker. - [Risk Radar](https://www.specky.space): Risk scoring for roadmap initiatives with workload analysis and mitigation tracking. ## Execution - [Ticket Generation](https://www.specky.space): PRDs auto-generate implementation tickets with acceptance criteria, story points, and edge cases — push to Jira, Linear, GitHub, Trello, or Shortcut. - [Roadmap](https://www.specky.space): Quarterly visual roadmap aggregating opportunities, tickets, documents, and objectives. - [Hypothesis Validation](https://www.specky.space): Create hypotheses, deploy Alex campaigns, and watch evidence aggregate. Scored as Validated, Refuted, or Gathering. - [Experiments](https://www.specky.space): Track A/B tests, fake doors, surveys, and prototype tests with validation status. ## Integrations Each provider page explains what the tool does, the supported data flow, setup, inputs, outputs, and examples. Capabilities differ by provider; a workflow bridge is not a source-data sync. - [All integrations](https://www.specky.space/integrations) - [GitHub](https://www.specky.space/integrations/github): Choose the repos Specky can see, then send reviewable validation tests to a branch your team can inspect. - [Slack](https://www.specky.space/integrations/slack): Bring product conversations into one place, so recurring feedback and decisions do not disappear in a busy channel. - [Jira](https://www.specky.space/integrations/jira): Bring issues and epics into the same workspace as the customer evidence behind them. - [Linear](https://www.specky.space/integrations/linear): Bring issues and projects into Specky so delivery work stays connected to the product questions behind it. - [PostHog](https://www.specky.space/integrations/posthog): Bring funnels, feature flags, and survey responses beside the customer language that explains them. - [Product Hunt](https://www.specky.space/integrations/producthunt): Bring launch-day comments and questions into the same record as the product they are reacting to. - [Discord](https://www.specky.space/integrations/discord): Bring a focused community or support channel into Specky without importing every server conversation. - [Telegram](https://www.specky.space/integrations/telegram): Bring feedback from a Telegram group or channel in, and let people message your bot directly. - [WhatsApp](https://www.specky.space/integrations/whatsapp): Let customers send feedback or booking requests to your WhatsApp Business number. - [Chatarmin](https://www.specky.space/integrations/chatarmin): Bring inbound WhatsApp messages from Chatarmin into Specky as customer feedback. - [fonio.ai](https://www.specky.space/integrations/fonio): AI phone agents — turn post-call transcripts into searchable evidence by webhook, then place approved callbacks. - [ElevenLabs](https://www.specky.space/integrations/elevenlabs): Bring voice-agent conversations into product research, and create audio briefs from the work. - [SMS](https://www.specky.space/integrations/sms): Send an approved stakeholder update by text through Twilio. - [Notion](https://www.specky.space/notion-integration): Bring selected Notion pages and databases into Specky, then send finished PRDs back when you are ready. - [Custom API](https://www.specky.space/integrations/custom): Pull records from any REST endpoint and map them into the Product Graph. - [HubSpot](https://www.specky.space/integrations/hubspot): Bring contacts, deals, tickets, and customer notes together so product decisions have the revenue context. - [Pendo](https://www.specky.space/integrations/pendo): Bring feedback, NPS, and friction signals from Pendo alongside the rest of your product evidence. - [Sentry](https://www.specky.space/integrations/sentry): Bring production errors and crashes into product work, with AI helping you spot the bugs that affect customers. - [Gong](https://www.specky.space/integrations/gong): Bring call recordings and transcripts into Specky so customer language is easy to find and cite. - [Intercom](https://www.specky.space/integrations/intercom): Bring customer conversations, contacts, and help-center articles into the same product context. - [Datadog](https://www.specky.space/integrations/datadog): Bring incidents, monitors, and observability data next to the product signals that show who is affected. - [Salesforce](https://www.specky.space/integrations/salesforce): Bring account, deal, and support-case context into decisions about product priorities. - [Zendesk](https://www.specky.space/integrations/zendesk): Bring support tickets and customer feedback into the same place as product decisions. - [Zoom](https://www.specky.space/integrations/zoom): Bring meeting recordings and transcripts into Specky so the important part of the conversation does not stay buried in a recording. - [Amplitude](https://www.specky.space/integrations/amplitude): Bring product analytics and user behaviour into the same conversation as customer feedback. - [Mixpanel](https://www.specky.space/integrations/mixpanel): Bring funnels and event data into product questions, experiments, and outcome reviews. - [Figma](https://www.specky.space/integrations/figma): Bring design files and prototypes into product context so the decision and the interface stay connected. - [Segment](https://www.specky.space/integrations/segment): Bring customer events from Segment into the same evidence layer as qualitative feedback. - [Gainsight](https://www.specky.space/integrations/gainsight): Bring customer-success health, NPS, and account context into prioritisation. - [Freshdesk](https://www.specky.space/integrations/freshdesk): Bring support tickets and recurring customer questions into evidence-backed product work. - [Help Scout](https://www.specky.space/integrations/helpscout): Bring Help Scout conversations into Specky so repeated customer language is easy to spot. - [JustCall](https://www.specky.space/integrations/justcall): Bring call transcripts, summaries, sentiment, and AI insights into the same product record. - [Trello](https://www.specky.space/integrations/trello): Bring board cards and delivery context into the same loop as product evidence. - [Shortcut](https://www.specky.space/integrations/shortcut): Bring Shortcut stories and delivery context into Specky, then create or update stories from approved work. - [Typeform](https://www.specky.space/integrations/typeform): Bring survey and research responses into the same evidence layer as interviews and support conversations. - [Asana](https://www.specky.space/integrations/asana): Bring tasks and projects into product context without losing the customer reason behind the work. - [ClickUp](https://www.specky.space/integrations/clickup): Bring tasks, docs, and project work together with the signals that explain what should happen next. - [Loom](https://www.specky.space/integrations/loom): Bring screen recordings and async walkthroughs into Specky as product context. - [Stripe](https://www.specky.space/integrations/stripe): Bring revenue, subscription, and customer signals into decisions about product value and churn. - [Launchnotes](https://www.specky.space/integrations/launchnotes): Bring release notes and changelog announcements into the graph so you can compare shipped work with customer response. - [Snowflake](https://www.specky.space/integrations/snowflake): Query warehouse data — usage events, analytics tables, and product telemetry — alongside the rest of your evidence. - [Miro](https://www.specky.space/miro-integration): Bring boards, sticky notes, and workshop output into Specky before the good ideas get lost. - [Confluence](https://www.specky.space/integrations/confluence): Bring Confluence spaces and pages into the same product memory as research, decisions, and delivery. - [Azure DevOps](https://www.specky.space/integrations/azure-devops): Bring work items, boards, and pull requests from Azure Boards and Repos into Specky. - [Microsoft Teams](https://www.specky.space/integrations/teams): Bring channel messages and threads into Specky so customer and product conversations stay searchable. - [Outlook](https://www.specky.space/integrations/outlook): Bring the email threads that matter into Specky, alongside the product and customer context they belong to. - [Granola](https://www.specky.space/integrations/granola): Bring Granola meeting notes, summaries, transcripts, and action items into Specky while the decisions are still fresh. - [Microsoft Planner](https://www.specky.space/integrations/planner): Bring Microsoft Planner tasks into product context, then send approved work back to the plan. - [Zapier](https://www.specky.space/integrations/zapier): Send selected Specky events to a Zapier Catch Hook, and bring the useful result back into your graph. - [n8n](https://www.specky.space/integrations/n8n): Connect a self-hosted or cloud n8n workflow to Specky and automate the handoffs around product work. ## ICP and feature marketing - [Market & competitor research](https://www.specky.space/features/market-research): Research market topics, competitor releases, pricing, reviews, and accessible public conversations. Compare findings with your customer evidence and strategy to assess a product bet; facts, inferences, and unknowns remain distinct. - [Market research walkthrough](https://www.specky.space/docs/market-research): Inputs, source checks, expected outputs, social-listening limitations, and a worked example from competitor release to validation test. - [ICP & Positioning](https://www.specky.space/features/icp-positioning): Build a per-product ideal customer profile from real Product Graph evidence. Keep primary, secondary, and experimental segments, buying triggers, jobs, pains, outcomes, objections, customer language, anti-ICP, citations, and uncertainty in one editable workspace. - [ICP & Positioning guide](https://www.specky.space/docs/icp-positioning): What to provide, how evidence is used, what Specky returns, and how to carry a segment into research, planning, validation, and launches. - [Idea Validation](https://www.specky.space/features/idea-validation): Turn an idea and ICP segment into risk-ranked assumptions, evidence for and against, an unbiased research campaign, the smallest useful experiment, and explicit build, reframe, or stop conditions. The plan can create real Alex campaigns and linked experiments. - [Idea Validation guide](https://www.specky.space/docs/idea-validation): A complete tutorial for framing an idea, testing its riskiest belief, recruiting participants, creating the experiment, and recording the decision. - [Feature Marketing](https://www.specky.space/features/feature-marketing): Turn a feature, selected ICP segment, and customer evidence into positioning, a detailed product explanation, examples, launch assets, SEO, and a measurement plan. Supported claims and assumptions remain separate. - [Feature Marketing guide](https://www.specky.space/docs/feature-marketing): A complete tutorial from selecting a product item through editing and using the launch brief. ## Validation Pages - [Validation Pages](https://www.specky.space/features/validation-pages): Turn an experiment into an honest public page for fake-door, waitlist, feature-interest, concierge, or prototype tests. Capture intent, responses, and event metrics before committing a full build. Then deliver the same test to a reviewable specky/validation/... branch in the connected GitHub repository when it needs to be felt in product context. - [Validation Pages guide](https://www.specky.space/docs/validation-pages): What to provide, what the respondent sees, how responses become Product Graph evidence, how to create the hosted page, and how to create a repo-native branch with a working static artifact, manifest, README, and optional draft PR. ## Product Planning - [Product Planning](https://www.specky.space/features/product-planning): Compare priorities, test capacity, expose dependencies and drift, roll up several products, and create audience-specific stakeholder roadmaps from the same connected plan. - [Planning overview](https://www.specky.space/docs/planning-studio): The full evidence-to-decision-to-delivery communication loop. - [Priority Poker](https://www.specky.space/docs/priority-poker): Independent team scoring with visible vote distributions and disagreement. - [Capacity Planning](https://www.specky.space/docs/capacity-planning): Explainable scenarios with explicit item estimates, weekly capacity, and a planning horizon. Supports story points, person-weeks, prototype cycles, or budget; units are never silently converted. - [Dependencies & Drift](https://www.specky.space/docs/dependency-drift): Workspace-scoped prerequisites plus blocked, overdue, estimate, and staleness prompts. - [Portfolio Rollups](https://www.specky.space/docs/portfolio): Organization-level OKR, roadmap, risk, and signal summaries across product workspaces. - [Stakeholder Roadmaps](https://www.specky.space/docs/stakeholder-roadmaps): Audience-specific Now, Next, Later communication without copying the source plan. ## Product Intelligence - [Product Intelligence](https://www.specky.space/features/product-intelligence): Ask a product question, inspect live evidence from connected tools, see what remains unknown, and carry the decision into prioritization, PRDs, experiments, delivery, and outcome review. The production assistant receives the full built-in toolset and connected MCP tools; current questions are grounded in the live source first. - [Product Intelligence guide](https://www.specky.space/docs/product-intelligence): What to provide, what Specky returns, and a concrete signups/activation investigation tutorial. - [Live evidence cookbook](https://www.specky.space/docs/cookbook-product-intelligence): A step-by-step workflow for analytics changes, support spikes, voice-of-customer patterns, and delivery incidents. ## Feedback and developer surfaces - [Public feedback portal](https://www.specky.space/docs/feedback-portal): Collect moderated ideas, votes, comments, and status subscriptions at a workspace-scoped public roadmap. - [CLI](https://www.specky.space/docs/cli): Search, capture signals, create documents, and run workflows from a real Node client over the workspace API. - [Chrome Extension](https://www.specky.space/docs/chrome-extension): Capture browser context into the Product Graph with a workspace API key. ## Workflow blueprints - [Workflow blueprints](https://www.specky.space/case-studies): Honest, composite blueprints showing the input, tools, approval point, output, and metric to watch — from feedback to a cited PRD and agent-ready handoff. - [n8n feedback-to-spec template](https://www.specky.space/case-studies/n8n-template-feedback-to-spec): Download a real n8n workflow that calls Specky’s public feedback_to_spec MCP tool and posts the structured result to Slack. ## Search and AI answer guides - [What is an AI product manager?](https://www.specky.space/guides/ai-product-manager): An honest guide to AI product management, human judgment, evaluation criteria, and a safe starting workflow for founders and small teams. - [How to turn customer feedback into a product roadmap](https://www.specky.space/guides/customer-feedback-to-product-roadmap): A problem-led workflow for grouping evidence, prioritising opportunities, publishing outcome-based roadmap bets, and closing the loop after shipping. - [How to validate a SaaS idea before building it](https://www.specky.space/guides/validate-saas-idea): A founder-friendly process for testing assumptions with customer interviews, commitment signals, and small honest experiments. Includes the Vouch path for idea validation. - [How to write a product requirements document](https://www.specky.space/guides/write-a-prd): A practical PRD structure for problem evidence, outcomes, scope, requirements, acceptance criteria, assumptions, and review. - [Customer interview questions for product discovery](https://www.specky.space/guides/customer-interview-questions): Neutral questions and follow-ups for learning about recent behavior, workarounds, urgency, and buying context. - [RICE prioritization framework](https://www.specky.space/guides/rice-prioritization-framework): How to use reach, impact, confidence, and effort as a transparent decision aid without hiding product judgment. - [How to prioritize product features](https://www.specky.space/guides/how-to-prioritize-product-features): An evidence-based framework for translating requests into opportunities, comparing impact with effort and confidence, and choosing the smallest useful test. - [The product discovery process](https://www.specky.space/guides/product-discovery-process): A repeatable path from customer problem and evidence to tested decision, delivery handoff, and outcome review. - [How to write an AI PRD](https://www.specky.space/guides/ai-prd): A practical AI-specific PRD structure covering evidence, model behavior, evaluation, failure modes, and human review. ## AI provider coverage - [Connect Specky to AI providers](https://www.specky.space/for-agents/providers): Connect the same OAuth-enabled Streamable HTTP MCP server to ChatGPT, Claude, Gemini, Microsoft Copilot, Perplexity, Cursor, VS Code, and other MCP clients. Directory placement is provider-reviewed; direct MCP connections can be tested independently. - [ChatGPT MCP setup](https://www.specky.space/for-agents/providers/chatgpt): Private remote-MCP testing and OAuth setup, plus the separate OpenAI App Directory review path. - [Claude MCP setup](https://www.specky.space/for-agents/providers/claude): Add Specky as a custom connector, test a read-first workflow, and prepare a Claude Directory submission. - [Gemini MCP setup](https://www.specky.space/for-agents/providers/gemini): Configure Specky as a supported Gemini API or agent mcp_server tool with a tool allowlist. - [Microsoft Copilot MCP setup](https://www.specky.space/for-agents/providers/microsoft-copilot): Add Specky through Copilot Studio’s MCP onboarding flow and inspect tools before publishing. - [Perplexity MCP setup](https://www.specky.space/for-agents/providers/perplexity): Connect Specky through a supported custom remote-connector surface; availability varies by account. - [Cursor, VS Code, Codex, and MCP clients](https://www.specky.space/for-agents/providers/developer-clients): Use the same Streamable HTTP endpoint from compatible developer clients without a marketplace listing. - [Specky MCP guide](https://www.specky.space/for-agents): Endpoint, OAuth discovery, workspace-key fallback, capabilities, safety boundaries, and human-review guidance. ## Free Tools - [AI PRD Generator](https://www.specky.space/tools/prd-generator): Generate a draft Product Requirements Document to review. Free, no account required. - [Feedback to Spec](https://www.specky.space/tools/feedback-to-spec): Paste one piece of customer feedback and get a prioritized, defensible product insight with the exact quotes that prove it. Free, no signup. - [JTBD Interview Template](https://www.specky.space/tools/jtbd-interview): 21 Jobs-to-be-Done interview questions across warm-up, core JTBD, follow-up probes, and closing. Free download. - [Product Roadmap Template](https://www.specky.space/tools/product-roadmap-template): Now / Next / Later roadmap template with feature examples, priority tiers, and success metrics. Free CSV download. - [RICE Calculator](https://www.specky.space/tools/rice-calculator): Score and rank your product backlog with Reach x Impact x Confidence / Effort. Free, instant, no account needed. - [Vibe Check](https://www.specky.space/tools/vibe-check): Paste your landing page copy or product pitch and get an honest PM gut-check on who it's for and what to build next. Free, no signup. ## Related Products - [Vouch](https://vouch.specky.space): The idea-validation workspace from the Specky team. Structure your assumptions, get AI coaching, and run real interviews to see if customers actually vouch for an idea before you build it — "When customers vouch for it, build it." - [Alex](https://www.specky.space/alex): AI user interviews inside your own app. Drop one snippet into your product and Alex interviews a random sample of your users about the feature they're using — consent-first, recording their clicks and navigation, and delivering transcripts, themes, sentiment, and an action log to your Specky workspace. Works alongside Hotjar, Maze, and UserTesting — no migration from your existing stack. ## Specbench Specbench is a HELM-style holistic benchmark for LLMs and agent harnesses acting as product managers — multi-turn startup simulations scored on whether the system actually steers a company toward product-market fit. - [Specbench](https://www.specky.space/specbench): Overview, live leaderboard, and the PMF score used to rank systems under test. - [Methodology](https://www.specky.space/specbench/methodology): The multi-turn company simulator, the systems under test, the PMF score, the Specbench Index weighting, and the reproducibility guarantees. - [Scenarios](https://www.specky.space/specbench/scenarios): The scenario catalog — SaaS niche-finding, a developer-tool wedge, consumer retention, and a near-death turnaround — each with its own market structure and difficulty. - [Decision Replay](https://www.specky.space/specbench/replay): Backtests AI product judgment against real history — replay the pivotal decisions of famous startups (Slack, Airbnb, Stripe, Instagram) and measure whether the AI picks the moves that actually led to success. - [Submit an agent](https://www.specky.space/specbench/api): Connect your LLM or agent harness to Specbench via HTTP API and appear on the community leaderboard. ## How Specky Compares to Other Tools Specky connects customer evidence to product decisions, requirements, and delivery work. It can complement issue trackers, analytics, research, documentation, and design tools through the integrations listed below. Teams review the evidence and make the decisions; Specky helps investigate, draft, and carry context forward. Choose it when the missing piece is the connection between customer signals and the work you plan to ship. It is not a replacement for every capability of those specialist tools. - [All comparisons](https://www.specky.space/compare) - [Specky vs Jira](https://www.specky.space/compare/specky-vs-jira) - [Specky vs Notion](https://www.specky.space/compare/specky-vs-notion) - [Specky vs Coda](https://www.specky.space/compare/specky-vs-coda) - [Specky vs Aha!](https://www.specky.space/compare/specky-vs-aha) - [Specky vs Productboard](https://www.specky.space/compare/specky-vs-productboard) - [Specky vs Linear](https://www.specky.space/compare/specky-vs-linear) - [Specky vs Dovetail](https://www.specky.space/compare/specky-vs-dovetail) - [Specky vs Amplitude](https://www.specky.space/compare/specky-vs-amplitude) - [Specky vs Atlassian](https://www.specky.space/compare/specky-vs-atlassian) - [Specky vs ChatGPT](https://www.specky.space/compare/specky-vs-chatgpt) - [Specky vs Claude](https://www.specky.space/compare/specky-vs-claude) - [Specky vs Cursor](https://www.specky.space/compare/specky-vs-cursor) - [Specky vs GitHub Copilot](https://www.specky.space/compare/specky-vs-github-copilot) - [Specky vs Jules](https://www.specky.space/compare/specky-vs-jules) - [Specky vs feedback tools](https://www.specky.space/compare/specky-vs-feedback-tools) Specky as an alternative to specific tools: - [All alternatives](https://www.specky.space/alternatives) - [Productboard alternative](https://www.specky.space/alternatives/productboard) - [Aha! alternative](https://www.specky.space/alternatives/aha) - [airfocus alternative](https://www.specky.space/alternatives/airfocus) - [ChatPRD alternative](https://www.specky.space/alternatives/chatprd) - [BuildBetter alternative](https://www.specky.space/alternatives/buildbetter) - [Jira alternative](https://www.specky.space/alternatives/jira) - [Linear alternative](https://www.specky.space/alternatives/linear) - [Notion alternative](https://www.specky.space/alternatives/notion) ## Who Specky Is For Specky supports product managers, founders, and product leaders connecting customer evidence to product work. - [For Product Managers](https://www.specky.space/for/pms): The full PM loop — discovery, PRDs, tickets, roadmap — in one AI-native workspace. - [For Founders](https://www.specky.space/for/founders): Run a grounded product workflow without a dedicated PM. - [For Solo Founders](https://www.specky.space/for/solo-founders): Your AI product team for one — research, PRDs, and tickets from customer signals. - [For CPOs](https://www.specky.space/for/cpos): Product intelligence at the executive level. - [For Heads of Product](https://www.specky.space/for/heads-of-product): One view of your entire product organisation. - [For VPs of Product](https://www.specky.space/for/vps-of-product): Evidence-based decisions at portfolio scale. - [For Technical PMs](https://www.specky.space/for/technical-pms): PM intelligence that speaks engineer — GitHub integration, ticket gen, and technical PRDs. - [For Growth PMs](https://www.specky.space/for/growth-pms): Experiment tracking, channel intelligence, and AI-surfaced growth opportunities. - [For Hardware & Connected Product Teams](https://www.specky.space/for/hardware-teams): Field feedback and prototype observations into reviewed requirements; not CAD, PLM, manufacturing, or certification software. - [Hardware walkthrough](https://www.specky.space/docs/hardware-products): Setup, inputs, outputs, constraints, and an illustrative connected-sensor example. - [For B2B SaaS Teams](https://www.specky.space/for/b2b-saas): Account-based product intelligence from Gong, Slack, Jira, and CRM. - [For Startups](https://www.specky.space/for/startups): Ship faster and build the right thing — full PM loop from day one. - [For Enterprise](https://www.specky.space/for/enterprise): Shared product context across teams and workspaces. See the security page for current controls and limitations. - [For Freelance PMs](https://www.specky.space/for/freelance-pms): Run multiple client engagements without the context-switching tax — one workspace per client, each with its own Product Graph. - [For Aspiring AI PMs](https://www.specky.space/for/aspiring-ai-pms): The build-first route into AI product management — pick a problem, interview users, ship an MVP, and keep the evidence behind every decision for your case study. - [For Designers](https://www.specky.space/for/designers): Close the gap between Figma, research, and engineering delivery — design context linked into every spec. - [For Vibe Coders](https://www.specky.space/for/vibe-coders): Turn a vibe-coded MVP's Slack DMs, support tickets, and reviews into a real backlog, PRDs, and roadmap. ## For AI Agents Specky is designed to be a first-class workspace for AI agents — not just human PMs. Agents acting on behalf of a user can search the Product Graph, create documents, generate tickets, run research campaigns, and execute custom workflows. - [Agent manifest](https://www.specky.space/.well-known/agents.json): Machine-readable capability manifest (agents.json) listing supported interfaces, auth, rate limits, and capability IDs. - [OpenAPI spec](https://www.specky.space/openapi.json): OpenAPI 3.1 description of the public REST surface. - [MCP server](https://www.specky.space/api/mcp): Model Context Protocol endpoint for Claude Desktop, Cursor, and other MCP clients (beta). - [For Agents](https://www.specky.space/for-agents): Human-readable overview of agent integration, authentication, and best practices. MCP clients can use OAuth with a workspace consent screen, or workspace-scoped API keys (`sk_live_…`) from Settings → Developer. Public REST calls use API keys sent as `Authorization: Bearer `. Review permissions before connecting and revoke access in Settings. - [Pricing for AI agents](https://www.specky.space/pricing.md): Plain-text plan, price, and capability summary. ## Writing Essays and guides on AI-native product management, published on a rolling basis. - [Spec Hallucination: The 15-Minute Claim Trace for AI-Written Specs](https://www.specky.space/blog/spec-hallucination-claim-trace-ai-written-specs): AI writes specs that sound sourced but often aren't. The Claim Trace is a 15-minute audit that labels every claim Sourced, Inferred, Assumed or Invented before engineering builds from it. - [What Counts as Evidence? The Risk Receipt for Value, Usability, Feasibility, and Viability](https://www.specky.space/blog/what-counts-as-evidence-four-product-risks): AI made feasibility cheap to prove. Value, usability, and viability still need their own evidence — and a great prototype demo counts for less than it feels like. Here's the Risk Receipt framework for checking what you've actually retired. - [How to Manage Engineers Using AI Coding Tools Without Measuring Lines of Code](https://www.specky.space/blog/manage-engineers-ai-coding-tools-without-lines-of-code): AI coding tools change engineering throughput and review load. Here is how product leaders can manage AI-assisted teams using outcomes, small batches, quality, and ownership instead of lines of code. - [What Should Product Managers Automate With AI? A Practical Workload Framework](https://www.specky.space/blog/what-should-product-managers-automate-with-ai): A practical framework for deciding what product managers should automate with AI, what they should assist, and what must remain human-owned. - [Should Product Managers Become Builders? What the PM Builder Role Actually Means](https://www.specky.space/blog/should-product-managers-become-builders-pm-builder-role): The PM Builder debate is too binary. Product managers should build enough to improve a decision, while engineering keeps ownership of production architecture, reliability, security, and operations. - [AI Created a New Product Workload: How PMs Should Manage Engineers, AI Builders, and the New PM Role](https://www.specky.space/blog/ai-created-new-product-workload-pm-engineers-builders): AI did not remove product work; it moved the bottleneck to judgment, review, and ownership. A practical PM–engineering contract for automation, building, and human accountability. - [How to Say No to Product Decisions Based on “We Can Build This in 1 Hour With AI” — Is This Still an Argument?](https://www.specky.space/blog/how-to-say-no-product-decisions-we-can-build-this-in-1-hour-with-ai): “We can build this in 1 hour with AI” is an implementation estimate, not a product argument. Learn how to say no, protect the roadmap, write better hypotheses, and turn AI speed into a safer learning loop. - [What Product Managers Should Never Delegate to AI](https://www.specky.space/blog/what-product-managers-should-never-delegate-to-ai): AI can summarize evidence and propose options, but some product decisions should remain human-owned. Here are the judgments PMs should never delegate without review. - [How to Review What AI Agents Build: A PM's Acceptance Checklist](https://www.specky.space/blog/review-what-ai-agents-build-pm-acceptance-checklist): Building got cheap; accepting the result did not. The four-rung Acceptance Ladder helps PMs review agent-built changes against the decision, the brief, the edge cases, and the outcome. - [The AI Product Brief Is a Contract, Not a Summary](https://www.specky.space/blog/ai-product-brief-contract-not-summary): AI can draft a product brief in seconds. The real job is making the problem, proof, behavior, boundaries, and checks impossible to confuse. - [Your Product Memory Should Compound: A Practical Decision Graph for Small AI Teams](https://www.specky.space/blog/product-memory-decision-graph-small-ai-teams): Product teams do not need another document archive. They need a living connection between evidence, decisions, work, and outcomes. - [Most "AI Features" Shouldn't Be AI Features. Here's the Test That Tells You.](https://www.specky.space/blog/should-this-feature-actually-use-ai): Most "AI features" shipped in 2026 are rules engines wearing an AI costume. Here's the four-question test to run before you spec one — and what it looks like when a feature fails all four. - [The Product Velocity Illusion: Why Shipping Faster Hasn't Made Your Roadmap Better](https://www.specky.space/blog/product-velocity-illusion): AI collapsed the time it takes to build a feature, but not the time it takes to decide what to build or validate that it worked. The Three Clocks framework shows product teams where their real bottleneck moved — and how to stop mistaking build speed for progress. - [Your Next User Might Not Be Human: A PM's Framework for Agent-Ready Products](https://www.specky.space/blog/agent-ready-products-two-user-model): Software is quietly picking up a second audience — AI agents acting on a human's behalf. Here's a framework for auditing whether your product actually works for both. - [Can AI replace product managers? What the 2026 data actually says](https://www.specky.space/blog/can-ai-replace-product-managers-2026-data): 94% of PMs use AI daily — but only ~6% for strategy, and 43% of startups still fail on product-market fit. Why AI replaces the busywork, not the judgment. - [Where a product manager's week actually goes — and why strategy keeps losing](https://www.specky.space/blog/where-product-manager-week-goes): The average manager spends ~13 hours a week in meetings and ~60% of the day on "work about work." For product managers, only ~27% of the time is left for strategy. Where the week really goes. - [What EU product teams should check before adopting an AI tool — the 2026 checklist](https://www.specky.space/blog/eu-ai-tool-adoption-checklist-2026): For EU product teams, "GDPR-compliant" on a marketing page isn't enough in 2026. The checklist: data residency vs sovereignty, sub-processors, training-data, and EU AI Act scope. - [Startups don't run out of money. They run out of evidence](https://www.specky.space/blog/startups-run-out-of-evidence): The most-cited cause of startup failure keeps changing, but the root barely moves: ~43% fail on product-market fit. The deadliest version is false PMF — mistaking early curiosity for durable demand. - [Why 80% of software features are never used — and what the other 20% have in common](https://www.specky.space/blog/why-80-percent-features-never-used): Pendo found 80% of software features are rarely or never used and 12% drive 80% of usage. It's rarely a functionality gap — and the 20% that stick share three traits decided before any code is written. - [Building software got cheap. Knowing what to build didn't — the 2026 data](https://www.specky.space/blog/building-got-cheap-what-to-build-2026-data): The cost of building software collapsed — 41% of all code was AI-generated in 2025 — while the cost of knowing what to build didn't move. The data behind the shift. - [Stakeholder Management in the Age of AI: Why Everyone Now Has an Opinion About Your Roadmap](https://www.specky.space/blog/stakeholder-management-ai-age-2026): In 2026, every stakeholder has an AI assistant generating roadmap ideas. The PM's information advantage is gone — unless you build a different kind of advantage: specific customer evidence that no AI can replicate. - [The PM-to-Engineer Ratio Just Inverted. Here's What That Changes.](https://www.specky.space/blog/pm-engineer-ratio-inverted-what-it-means): The PM-to-engineer ratio has inverted. Andrew Ng's observation: teams have gone from 1 PM per 4 engineers to 2 PMs per 1 engineer. The bottleneck has moved from engineering to product. Here's what that changes about how you work. - [Your First 90 Days as a PM: How to Build Credibility Before You Change Anything](https://www.specky.space/blog/pm-first-90-days-build-credibility): The most dangerous moment in a PM's career isn't running out of ideas — it's the first month in a new role, when they have too many. Here's the 30-60-90 framework for building credibility before you change anything. - [Dual-Track Agile: How to Run Discovery and Delivery in Parallel Without Chaos](https://www.specky.space/blog/dual-track-agile-discovery-delivery): AI has collapsed delivery time. The bottleneck is now discovery. Dual-track agile is the methodology that fixes the sequencing problem most product teams don't know they have. - [The Solution Trap: Why the Best PMs Spend 80% of Their Time on the Problem](https://www.specky.space/blog/pm-solution-trap-spend-time-on-problem): Most product teams spend 20% of their time on the problem and 80% on the solution. The best invert this ratio — and ship fewer things that work better. - [How PMs Say No: Killing Features Without Killing Trust](https://www.specky.space/blog/how-pms-say-no-killing-features-without-killing-trust): Most PMs say yes when they should say no — not because they lack opinions, but because they lack organised evidence. Here's the four-part framework for declining feature requests in a way that builds trust instead of burning it. - [Product Intuition: How Senior PMs Make Good Calls With Incomplete Information](https://www.specky.space/blog/product-intuition-senior-pm-decision-making): Product intuition isn't a gut feeling — it's calibrated judgment. Here's the three-level evidence framework senior PMs use to make confident calls when the data is incomplete. - [The PM's Decision Log: How to Make Every Product Choice Visible, Searchable, and Accountable](https://www.specky.space/blog/pm-decision-log-make-choices-visible): Every product team makes hundreds of decisions per quarter. Most disappear into Slack. Here is the five-field decision log that makes every product choice visible, searchable, and accountable — and the habit that keeps it alive. - [Why PM Hiring Broke in 2026 — And What It Means for Your Career](https://www.specky.space/blog/why-pm-hiring-broke-2026): There are more open product manager roles than ever. And they're sitting unfilled for six to twelve months. Here's what broke the PM hiring market in 2026 — and what to do about it. - [Is Your AI PM Tool EU AI Act Compliant? A Framework for Product Managers](https://www.specky.space/blog/is-your-ai-pm-tool-eu-ai-act-compliant): Every AI tool in your stack now has to answer this question. Here is the 4-step framework we used to answer it honestly for Specky, and how to run it on your own stack in under an hour. - [How to Build a Product Roadmap That Executives Actually Trust](https://www.specky.space/blog/product-roadmap-executives-trust): Most roadmaps are polite fictions. This guide covers the specific changes — outcome framing, Now/Next/Later structure, evidence linking, and how to handle "can we add X?" — that turn a slide deck into something executives actually trust. - [How to Measure Product-Led Growth: The Metrics That Actually Matter](https://www.specky.space/blog/product-led-growth-metrics-that-matter): PLG sounds simple until you're measuring the wrong things. This guide covers the specific behavioral metrics — activation milestones, NRR, feature adoption depth, viral coefficient — that separate PLG teams that compound from those that stall. - [The PM's Guide to A/B Testing: From Hypothesis to Decision](https://www.specky.space/blog/pm-guide-ab-testing-hypothesis-to-decision): Most teams run A/B tests wrong — testing button colors instead of building real knowledge about their users. This guide covers hypothesis writing, statistical power, reading results honestly, and turning tests into institutional memory that compounds. - [Customer Journey Mapping for Product Managers: Stop Guessing, Start Seeing](https://www.specky.space/blog/customer-journey-mapping-product-managers): Most customer journey maps end up as beautiful wall art that nobody opens after the workshop. Here's how to build one that actually drives product decisions. - [Learning Velocity: Why Speed of Discovery Is Your Competitive Advantage in 2026](https://www.specky.space/blog/learning-velocity-competitive-moat-2026) - [The PM's Weekly Review: A 30-Minute Ritual That Replaces 5 Meetings](https://www.specky.space/blog/pm-weekly-review-30-minute-ritual): Most PMs are drowning in sync meetings that produce no decisions. Here is the 30-minute weekly review ritual that gives you the situational awareness of five meetings in one focused session. - [Make Product Management Fun Again: Reclaiming the Craft from the Chore](https://www.specky.space/blog/make-product-management-fun-again-craft-vs-chore): You got into product to build things people love — not to chase Slack threads. Here is how to give the 80% you hate to AI and keep the 20% that is the real craft. - [The PM Role Is Splitting: Which Product Manager Are You Becoming?](https://www.specky.space/blog/pm-role-is-splitting-which-pm-are-you-becoming): The generalist PM is becoming the hardest role to hire for — because the job is splitting. The specialize-vs-AI-generalist fork, the four flavors of "AI PM," and the one career question that now matters most. - [Jobs to Be Done: Why Your Customers "Hire" Your Product (and What That Changes)](https://www.specky.space/blog/jobs-to-be-done-why-customers-hire-your-product): Customers don't want your product — they hire it to get a job done, and fire it when something does the job better. Here's how Jobs to Be Done reframes discovery, prioritization, and messaging. - [Continuous Discovery: How to Talk to Customers Every Week (Without It Eating Your Roadmap)](https://www.specky.space/blog/continuous-discovery-talk-to-customers-every-week): Most teams do discovery in bursts, then build on stale assumptions for months. Continuous discovery — small, weekly customer touchpoints — keeps you close to reality. Here's how to make the habit stick without it eating your roadmap. - [Per-Seat Pricing Is Dying: How to Price When Your Users Are AI Agents](https://www.specky.space/blog/per-seat-pricing-is-dying-pricing-ai-agents): Per-seat pricing breaks the moment AI agents do the work. Here's how to choose between subscription, usage-based, and outcome-based pricing — and why hybrid models win in 2026. - [Your North Star Metric Is Probably Wrong: How to Pick the One That Isn't](https://www.specky.space/blog/north-star-metric-how-to-pick-the-right-one): Most teams pick a North Star Metric that's easy to move — and easy metrics don't predict survival. Here's how to choose one that measures value, break it into inputs you control, and connect it to evidence you can trust. - [Kill the Gantt Chart: How to Build an Outcome-Based Roadmap](https://www.specky.space/blog/kill-the-gantt-chart-outcome-based-roadmap): The feature roadmap optimises for delivery, not impact. Here's how to switch to an outcome-based roadmap — Now-Next-Later, outcomes over outputs, and a roadmap that works as a decision system instead of a list of dated promises. - [Eval-Driven Product Management: How to Define "Good" for AI Features](https://www.specky.space/blog/eval-driven-product-management-ai-features): Shipping AI features without evals is how 95% of pilots fail. Here is how product managers define "good" for probabilistic features — and ship with evidence instead of hope. - [From Vibe-Coded Prototype to Fundable Product](https://www.specky.space/blog/vibe-coded-prototype-to-fundable-product): Vibe coding makes a prototype free. Turning it into a fundable product takes the product thinking the prompt left out: the problem, the user, the edge cases. - [The Technical Spec Engineers Actually Read](https://www.specky.space/blog/technical-spec-engineers-actually-read): A technical spec is a thinking tool, not a formality. Here is how to write one that engineers actually read, focused on the risky decisions instead of completeness. - [The Activation Playbook: Turning Signups into Retained Users](https://www.specky.space/blog/saas-activation-playbook-signups-to-retention): Signups are vanity; activation is survival. Find your aha moment, run the activation loop, and connect signals to decisions so the work compounds. - [Product Strategy on One Page: The Strategy Canvas](https://www.specky.space/blog/product-strategy-on-one-page-strategy-canvas): A product strategy that does not fit on one page is not guiding decisions. The strategy canvas distills diagnosis, bet, and tradeoffs into something a team can actually remember. - [The Operating System for Scaling Product Teams](https://www.specky.space/blog/operating-system-for-scaling-product-teams): As product teams scale, decision velocity drops because informal coordination breaks. The fix is a product operating model and connected context, not more headcount. - [The AI-Native Stack for Technical PMs](https://www.specky.space/blog/ai-native-stack-for-technical-pms): AI now does the PM grunt work, promoting technical PMs from executor to orchestrator. The AI-native loop, where it wins, and why connected data is the prerequisite. - [De-risking Your Bets: A Practical Guide to Assumption Mapping](https://www.specky.space/blog/de-risking-bets-assumption-mapping): Every roadmap is a stack of untested assumptions. Assumption mapping surfaces the load-bearing, unproven bets and tells you what to test first, before you waste a quarter. - [How to Achieve Product-Market Fit (Without Guessing)](https://www.specky.space/blog/how-to-achieve-product-market-fit): Product-market fit is a number you can measure, not a feeling. The Sean Ellis 40% test, Superhuman's PMF engine, and how to deliberately increase your score before you scale. - [Run a Pre-Mortem: How to Kill Launch Risks Before They Kill You](https://www.specky.space/blog/running-a-launch-pre-mortem): A pre-mortem assumes your launch already failed and asks why, surfacing the risks confident planning meetings miss. Here is how to run one and turn it into a living risk radar. - [Your Product Is Being Judged by AI Before a Human Sees It](https://www.specky.space/blog/product-explainability-ai-systems): Search, recommendations, and AI assistants now judge your product before a human does. Product explainability is the new distribution — and most products are illegible to machines. - [Why 95% of Enterprise AI Pilots Fail (and the Product Judgment That Fixes It)](https://www.specky.space/blog/why-95-percent-of-ai-pilots-fail): 95% of enterprise AI pilots produce no measurable ROI. The failures share one root cause — skipped product judgment. Why they fail and the evals + outcome focus that fix it. - [Will AI Replace Product Managers? The Honest 2026 Answer](https://www.specky.space/blog/will-ai-replace-product-managers): The honest answer to the hottest debate in product: AI will not replace PMs, but it is replacing most of what PMs do all day. Here is how to stay on the right side of it. - [Stop Managing Tasks, Start Shipping Outcomes: How Elite Product Teams Use OKRs](https://www.specky.space/blog/stop-managing-tasks-start-shipping-outcomes-okrs): OKRs are often misunderstood as a tool for tracking output. In reality, they are a high-leverage strategic constraint that forces focus and accelerates your shipping cycle. - [Beyond the Spreadsheet: Why Your Prioritization Framework Is Failing You](https://www.specky.space/blog/beyond-the-spreadsheet-why-your-prioritization-framework-is-failing-you): Frameworks like RICE and MoSCoW are excellent tools for organization, but they aren't decision-makers. Discover why your team might be falling into the trap of false precision. - [The 2025 Product Discovery Framework: Moving from Chaos to Infrastructure](https://www.specky.space/blog/2025-product-discovery-framework-infrastructure): Product discovery is no longer about collecting feedback, but synthesizing it. Learn how to transition from fragmented spreadsheets to a unified infrastructure for growth. - [How to Write a High-Impact PRD: From Manual Drafting to One-Click Automation](https://www.specky.space/blog/how-to-write-a-high-impact-prd-automation): Product Requirements Documents shouldn't be a source of administrative bloat. Learn how to transition from legacy manual drafting to an efficient, AI-native workflow. - [From Data Overload to Strategic Advantage: Using AI for Competitive Intelligence](https://www.specky.space/blog/ai-competitive-intelligence-product-management): Stop drowning in competitor notifications. Discover how to leverage AI to transform fragmented market signals into a clear, prioritized product roadmap. - [Beyond the Feature Factory: A Modernized Product Opportunity Assessment](https://www.specky.space/blog/beyond-the-feature-factory-a-modernized-product-opportunity-assessment): Stop building features that no one wants. Learn how a modernized Product Opportunity Assessment serves as the ultimate filter to ensure capital efficiency in today's tech climate. - [Stop the Info-Dump: How to Write Stakeholder Briefings That Drive Decisions](https://www.specky.space/blog/stop-the-info-dump-stakeholder-briefing-guide): Most stakeholder updates fail because they prioritize data over clarity. Learn how to transform your briefings into persuasive tools that demand action instead of silence. - [Beyond the Whiteboard: How to Master the Async Product Discovery Sprint](https://www.specky.space/blog/mastering-async-product-discovery-sprint): Move beyond the traditional five-day workshop by adopting an asynchronous approach that prioritizes deep documentation and strategic clarity. Learn how to optimize team velocity. - [Productboard vs. Notion: Why You’re Probably Using the Wrong PM Tool](https://www.specky.space/blog/productboard-vs-notion-why-you-are-using-the-wrong-pm-tool): Choosing between rigid specialized software and a blank-canvas doc tool is a trap. Here is why your product team needs a smarter, more balanced path forward. - [Beyond Spreadsheets: How to Build an Automated OKR System](https://www.specky.space/blog/beyond-spreadsheets-automated-okr-system-product): Move beyond static spreadsheets by integrating your product analytics directly into your goal-setting framework. Learn how to transform OKRs into a dynamic feedback loop. - [4 AI Product Management Tools to Evaluate in 2026](https://www.specky.space/blog/top-8-ai-product-management-tools-2026): A practical comparison of four AI product management tools, focused on evidence, review, delivery continuity, and the trade-offs between specialist workflows. - [Stop the Insight Decay: Automating the Flow from Interviews to Tickets](https://www.specky.space/blog/stop-the-insight-decay-automating-the-flow-from-interviews-to-tickets): Most research insights die in stagnant documents instead of driving product growth. Learn how to transform qualitative interviews into evidence-backed engineering tasks. - [Stop the Feature Factory: 10 Warning Signs Your Team Is Shipping Without Evidence](https://www.specky.space/blog/stop-the-feature-factory-10-warning-signs-your-team-is-shipping-without-evidence): Shipping software is expensive, but shipping without evidence is a business liability. Here are 10 indicators that your product team has fallen into the feature factory trap. - [Stop Guessing: How to Supercharge the RICE Framework with AI](https://www.specky.space/blog/stop-guessing-how-to-supercharge-the-rice-framework-with-ai): Tired of prioritization meetings that feel like guessing games? Discover how to use AI to turn your RICE scores from subjective gut feelings into data-backed reality. - [Beyond Tables: Why Product Graphs Are the Future of Data-Driven Product Management](https://www.specky.space/blog/beyond-tables-why-product-graphs-are-the-future-of-data-driven-product-management): Modern product management requires more than flat reporting to stay competitive. Product graphs offer a path toward predictive strategy by mapping complex user relationships. - [From Writer to Architect: How to Build High-Impact PRDs with AI](https://www.specky.space/blog/build-high-impact-prds-with-ai): Product managers spend nearly half their time on administrative tasks, but AI is shifting this focus from manual drafting to strategic architecture. Learn how to leverage AI to ensure rigor, reduce documentation debt, and elevate your product requirements. - [Introducing Alex Research: Your AI-Native PM Agent](https://www.specky.space/blog/introducing-alex-research): Meet Alex — the AI research agent that runs structured user interviews, synthesises findings, and feeds insights directly into your Product Graph. - [One-Click Ticket Generation: From Opportunity to Execution in Seconds](https://www.specky.space/blog/one-click-ticket-generation): The gap between "we should build this" and actionable tickets just got a lot smaller. Here's how one-click generation works and why we built it. - [Risk Radar: Spot Churn Before It Happens](https://www.specky.space/blog/risk-radar-proactive-churn-detection): Risk Radar is Specky's new proactive monitoring surface. It watches your product signals for early warning signs of customer risk — so you can act before it's too late. - [The Product Graph: A Living Map of Your Product's Intelligence](https://www.specky.space/blog/product-graph-living-map): The Product Graph is the foundation of everything in Specky — a connected knowledge base that grows with your product and your team. - [How to Run a 3-Hour Discovery Sprint with AI](https://www.specky.space/blog/discovery-sprint-with-ai): You don't need two weeks and a dozen user interviews to validate an idea. Here's a repeatable process for running a fast, evidence-backed discovery sprint using Specky. ## Links - [Homepage](https://www.specky.space) - [Pricing](https://www.specky.space/pricing) - [AI PRD Generator](https://www.specky.space/lp/ai-prd-generator): Write full PRDs from a one-line brief, backed by evidence from Slack, Jira, and customer calls. - [From Vibe-Coded MVP to Real Product](https://www.specky.space/lp/vibe-to-product): Turn scattered feedback from a vibe-coded MVP into a real backlog, PRDs, and roadmap. - [All Comparisons](https://www.specky.space/compare) - [Documentation](https://www.specky.space/docs) - [About](https://www.specky.space/about): Fathy Shalaby is the human founder; Specky is his AI CPO, a software teammate. Meet the Speckynauts and the crew we hope to build. - [Blog](https://www.specky.space/blog) - [Startup Program](https://www.specky.space/startup-program) - [For AI Agents](https://www.specky.space/for-agents) - [Vouch — idea validation](https://vouch.specky.space) - [Alex — AI user interviews in-app](https://www.specky.space/alex) - [GDPR & EU compliance](https://www.specky.space/gdpr) - [Security](https://www.specky.space/security) - [Privacy Policy](https://www.specky.space/privacy) - [Terms of Service](https://www.specky.space/terms) - [Integrations](https://www.specky.space/integrations): Any signal, from anywhere — OAuth, API keys, and webhooks (Slack, Notion, GitHub, Jira, Linear, HubSpot, Gong, PostHog, fonio, ElevenLabs, Chatarmin, and more), REST API, file upload, URL import, and the Chrome extension all feed the Product Graph. - [fonio integration](https://www.specky.space/integrations/fonio) · [ElevenLabs integration](https://www.specky.space/integrations/elevenlabs) · [Chatarmin integration](https://www.specky.space/integrations/chatarmin) - [Manifesto](https://www.specky.space/manifesto): Our belief that product teams should spend less time reconstructing context and more time learning and deciding. - [Why Specky](https://www.specky.space/why-specky): A long-form story on why product context rots across eight tools, and what changes when it lives on one graph that compounds. - [Platform Tour](https://www.specky.space/tour): The full Specky product loop end to end — Product Graph, AI agents, session intelligence, outcome tracking, and reviewable product work. - [Changelog](https://www.specky.space/changelog): Latest updates, fixes, and improvements to Specky. - [PM Workflow Cookbook](https://www.specky.space/cookbook): Step-by-step recipes for common PM workflows — turn Gong calls into PRDs, run JTBD interviews, close the outcome loop. - [Brand Hub](https://www.specky.space/brand-hub): Canonical facts about Specky — product, pricing, company, and legal details in one place. - [Referral Program](https://www.specky.space/referral): Invite a PM to Specky — when they start a paid plan, you both get one month free. - [Chrome Extension](https://www.specky.space/extension): Install the working Chromium extension in developer mode and capture competitive intel and customer feedback from any webpage straight into the Product Graph. - [Miro Integration](https://www.specky.space/miro-integration): Specky inside Miro boards — AI-analyze sticky notes and push discoveries back into the Product Graph. - [Notion Integration](https://www.specky.space/notion-integration): Specky inside Notion — auto-surface Product Graph signals and push PRDs and insights back to Specky. - [Partner Program](https://www.specky.space/partners): For freelance PMs and product agencies — deliver client work faster and earn recurring revenue for every client you bring onto Specky. - [Design Partner Program](https://www.specky.space/design-partners): 5 slots for technical founders building with Claude Code, Cursor, Bolt, Lovable, or v0 — 3 months of Scale free plus a weekly call with the founder. - [Full LLM context](https://www.specky.space/llms-full.txt)