Multi-Player AI; where Specs Update by Themselves
Your whole team's AI tools share the same context. Specs sync with code automatically. Conflicts get caught. Everyone stays aligned.
Static docs are already wrong by Wednesday.
You spec Monday. Ship Tuesday. By Wednesday the spec contradicts the code, which contradicts the API docs, which contradict each other.
Nobody fixes it—there's a sprint to finish. So you rebuild context from Slack, memory, and hope.
But I hate writing specs!
You don't write specs (unless you want to).
Your AI forgets everything between chats. Your coworker's AI doesn't know what yours knows. You both repeat yourselves.
Your AI conversations build the spec automatically. Spec remembers everything. Your PM's Claude knows what your dev's Cursor knows. Same context, every tool.
90% of the time you never look at it. It's invisible.
When do you open it?
▸Tracing a decision. "Why does the API work this way?" Open spec. See history.
▸Resolving conflicts. System flags a mismatch. You look. Fix or ignore.
The end of documentation work.
How it actually works:
Your AI tools talk to living specs. Specs talk to each other. Everything validates against your code. Context flows both ways—AI updates docs, docs inform AI.
┌─────────────────┐ ┌─────────────────┐
│ PM's Claude │ │ Dev's ChatGPT │
└───[1]───────▲───┘ └───[1]───────▲───┘
│ │ │ │
┌───────▼───────[2]──────────────────▼───────[2]──────┐
│ ┌─────────────────┐ ┌─────────────────┐ │
│ │ Product Spec │◀──[3]──▶│ Tech Spec │ │
│ └────────────▲────┘ └────▲────────────┘ │
│ │ │ │
└───────────────[3]─────────────────[3]───────────────┘
│ │
┌──▼───────────────────▼───┐
│ Codebase │
└──────────────────────────┘
┌────────────────────────────────────────┐
│ [1] LLM Updates Spec │
│ [2] Spec Gives Context to LLMs │
│ [3] Specs & Code Validate Each Other │
└────────────────────────────────────────┘Connects specs, AI, and code.
Chat with Claude? Push to spec. Code doesn't match the spec? System flags it.
Start with specs, code, or AI: doesn't matter. The system tracks what's decided and what's out of sync, then helps you resolve it.
Decisions get structured, not lost in chat history. Your AI pulls from what's real. Specs stay current because the system keeps them connected.
Conflict detection across everything.
Permissions say moderators can delete. API doesn't mention moderators. Model has unused moderator field.
You get flagged on all three. Each spec validates itself, then validates against everything it touches.
Product requirements, APIs, data models, code. Connected things get checked.
Portable context for any AI tool.
Working on checkout UI? AI gets UI specs. Debugging payment API? It gets API contracts.
System pulls exactly what each prompt needs, automatically. Claude, Cursor, ChatGPT. No copy-paste.
Switch tools mid-project, and co-work with others. Context stays shared, never lost.
You configure what conflicts matter. System only flags what you tell it to watch.
Spec whatever you're building.
Product requirements. API contracts. Design systems. Deploy configs. Database schemas. Runbooks.
Everything's a living document, validated against each other and your code. Each team sees what they need. Underneath, it's one system. Change something, everyone who needs to know gets notified.
Start with code. Start with specs. Jump back and forth. Some days you prototype and extract specs later. Some days you write specs first. System synchronizes in any direction you work.
Ship faster with AI.
Solo Developers
Context persists across sessions and tools. Close Claude, open Cursor tomorrow—specs are already there.
No re-explaining your entire system to a blank AI every morning. Switch between Claude, Cursor, ChatGPT mid-project—context never lost.
Cross-Functional Teams
Designer in Figma with ChatGPT. Dev in VS Code with Cursor. PM in Claude. All three pull from the same spec.
Nobody's working from different versions of reality. Designer says "checkout has three steps." Dev's AI knows three steps. PM's AI knows three steps. Because it's the same spec.
Growing Startups
New engineer joins Monday. Fires up their AI. It already knows your system—real specs, not stale wikis.
Tuesday they're shipping. No "can you walk me through this?" The spec knows the auth flow because someone decided on it last month and it's been kept current.
Other teams are still copy-pasting context into ChatGPT every morning. You're three features ahead.
Questions
How It Works
While working—in your terminal, editor, or web interface—you can commit changes into the spec system. The system detects mismatches between specs or between specs and code to flag issues and keep everything synchronized.
No. Write code first and extract specs. Write specs first and implement them. Jump back and forth. The system synchronizes in any direction you work.
Only if you want them to. Set severity levels, batch low-priority changes, and mute rules during refactors. You control what is worth interrupting for.
AI & Context
Context is generated on the fly from a shared living document. It is not stored in any one tool's session or memory. When your designer prompts ChatGPT and your developer prompts Cursor, both pull fresh context from the same spec. That's why everyone stays aligned.
Tool memory is trapped in that tool and resets between sessions. SpecTBD provides living specifications that work across all your tools—your context isn't siloed in any one assistant's memory.
Teams & Roles
No. Product managers and designers work with visual interfaces. Engineers work with technical views. Everyone contributes to the same living documents—just with appropriate tools for their role.
Comparison
Those are static document stores. They don't validate, sync with code, or feed intelligent context to AI tools. SpecTBD maintains living documents that stay accurate and useful.
Getting Started
No. Start with one feature or one part of your system. Get value immediately. Expand when you're ready. The system works at any scale.
Any AI tool with MCP support: Claude, Cursor, and more. Integrates with Slack and GitHub. Works across JavaScript/TypeScript, Python, and Java codebases, with more languages coming via adapters.
No. Your specifications are yours. MCP integration means you're not dependent on any single tool or vendor. Export, integrate, or migrate—your call.
Join the waitlist.
We'll email you when it's ready.