We should add multi-tenant support for the dashboard. Here's the context...
The AI-driven development lifecycle
Turn ideas into shipped software. in one shared flow.
Stakeholders, developers, and AI agents work in one conversation — with decisions, specs, and build context that stay attached from idea to impact.
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- 5
- Phases
- 33
- Stages
- 14
- Agents
SignalsAIAI-DLC
+3
Asking clarifying questions...
- What are the tenant isolation requirements?
- How will this impact existing users?
- Should we support custom domains?
Good questions. Here are the answers:
Multi-tenant requirements3 key points...
Message the team or @agent...
The problem
Most AI work is scattered.Progress gets lost.
The promise
Signals AI-DLC keeps the lifecycle connected.
One workspace. A shared thread. From idea to pull request and beyond.
How it works
A structured flow from idea to impact.
Signals AI-DLC follows a clear lifecycle, with AI agents and your team working together at every step.
Bring the idea into a shared workspace.
MayaLet's build a new analytics dashboard.
Agent questions become recorded decisions.
AI AgentWhat are the key user segments?
PRD and specs become shared artifacts.
PRDProduct requirements
SpecTechnical specification
Approved context moves to a private window.
Send to developer workspace with full context.
The build result returns to the team.
Pull request ready#482
- Tests passed
- Ready for review
The next iteration starts from the same context.
Same context. New possibilities.
The workspace
Two spaces. One continuous flow.
A shared workspace for alignment. Private windows for execution. Everything stays connected.
Built for real teams. Not just another AI chat.
Shared context for the whole team
Stakeholders, developers, and agents stay on one thread — not scattered DMs.
Decisions stay attached to the work
Every choice is recorded next to the PRD, spec, and build — searchable later.
Private build windows when you need focus
Execute in private, then bring results back to the shared conversation.
Traceability from idea to deploy
Follow the full lifecycle — idea, decisions, PRD, build, review, learn.
Built on a real methodology
The complete AI-driven development lifecycle.
Signals AI-DLC is built on the open AI-DLC methodology — a structured lifecycle, not a loose chat. 5 phases, 33 stages, and 14 specialized agents working together.
1. Idea
Capture intent
2. Decisions
Align early3. PRD
Scope the work4. Spec
Define build5. Build with context
Agents + humans6. Review
Ship quality7. Deploy
Release8. Learn
Feed next cycleSee the workflow
A short walkthrough of shared context, agent activity, and private builds.
Ready to build together
Make AI development collaborative. And keep the thread.
Signals AI-DLC gives your team a structured, collaborative workspace to go from idea to impact — with AI agents, real context, and a clear path to shipped software.
30-day free trial · No credit card required