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What it creates: Implementation-ready technical specifications with architecture decisions, requirements, and acceptance criteria.

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When to Use This

  • You’ve discussed a technical implementation with the AIs
  • You need to hand off a feature to your engineering team
  • You want to document architecture decisions before building
  • You’re planning a sprint and need clear technical scope

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What You Get

A Dev Project Brief typically includes:
  • Objective - What we’re building and why
  • Technical Requirements - Functional and non-functional specs
  • Architecture - System design, data flow, component structure
  • API Contracts - Endpoints, payloads, responses (if applicable)
  • Data Model - Schema changes, new tables, relationships
  • Dependencies - External services, libraries, prerequisites
  • Acceptance Criteria - How to verify it works
  • Edge Cases - Known gotchas and how to handle them
  • Out of Scope - What this doesn’t include
  • Estimated Complexity - T-shirt sizing or story points context

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Example

Conversation context: You discussed adding team collaboration to your app with the AIs, exploring real-time sync, permissions, and database schema. Generated Dev Project Brief excerpt:
Objective Add real-time team collaboration to projects, allowing multiple users to see each other’s conversations and share Master Documents within a workspace. Architecture 
Client → Supabase Realtime (WebSocket) → Postgres (RLS policies)
       → Edge Function (permission checks) → Shared state
Data Model Changes 
-- New tables
workspaces(id, name, owner_id, created_at)
workspace_members(workspace_id, user_id, role, invited_at)
shared_documents(document_id, workspace_id, shared_by, permissions)

-- Modified tables
projects: ADD workspace_id (nullable, FK)
sessions: ADD visibility ENUM('private', 'workspace')
Acceptance Criteria
  • User can create a workspace and invite members by email
  • Workspace members see shared projects in their sidebar
  • Real-time updates: member A’s new message appears for member B within 2 seconds
  • Role-based access: admin, editor, viewer permissions enforced
  • Existing private projects remain private unless explicitly shared

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Tips for Best Results

  • Discuss the technical approach in detail before generating - ask @GPT about architecture trade-offs
  • Include constraints: tech stack, performance requirements, existing infrastructure
  • Ask about edge cases and error handling during the conversation
  • The more specific your conversation (endpoints, schemas, flows), the more implementation-ready the brief
  • Use task assignment: “@GPT - design the API, @Claude - identify security concerns, @Gemini - map the data flow”

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Best AI Engine for This Type

GPT-5.2 - Produces precise technical specifications with clean formatting, consistent structure, and actionable implementation details. Claude - Good alternative when you need more context around architectural decisions and trade-off explanations.

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Still Need Help?

Reach out to us at [email protected] or use the feedback button in the app.