Live Agent Simulation
Prompt
Agent Response
Singletrack
Software Delivery Process
AI-First Engineering Framework
Singletrack helps engineers and teams move from vibe coding to agentic engineering with intent-driven development, architecture gates, and verification loops.
Open your AI tool, start a new chat, and paste the bootstrap prompt below to initialize the Singletrack workflow.
Paste this into your AI agent of choice.
| Standard AI agents are designed to be "helpful." When you ask for a feature, they immediately start writing code. While this feels like high velocity, it often leads to architectural drift, hallucinations, and "administrative debt." Without a framework, the AI is a coder without a manager.
Singletrack is not just a set of prompts; it is a discipline-first operating system for AI agents. It forces your AI to undergo a "personality transplant," moving it from a reactive coder to a proactive, structured development team.
By enforcing a strict separation between the Intent (the "What") and the Plan (the "How"), Singletrack ensures that:
A todo-list example showing what to prompt each persona and what a strong agent response should look like.
Live Agent Simulation
Prompt
Agent Response
Agentic Handshake
| Phase | Owner Agent | Input | Output | Gate |
|---|---|---|---|---|
| 1. Intent | Product Manager | Feature request | intents/INT-XX-title.md | Human approval |
| 2. Interlude | Architect | Approved intent | 2-3 options + tradeoffs | Path selected |
| 3a. Context Burst | Scout (Gemini-CLI) | Selected strategy | discovery/DIS-XX-report.md | Intent updated with findings |
| 3b. Spec Generation | Architect (Claude Code) | Refined intent + discovery report | specs/SPC-XX-spec.md | Spec completeness review |
| 4. Build | Builder Agent | Approved spec | plans/PLN-XX-PLAN.md + phase implementation | Per-phase tests pass |
| 5. Verify | Verifier | Completed phases | QA evidence | Intent success criteria pass |