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AI Agent Operational Spec Kit

What this is

A field-tested format for writing operational specs that turn AI agents from vague chatbots into reliable crew members. Includes a blank template, two real worked examples, and a completeness checklist.

The problem

Most people brief AI agents the way they'd brief a distracted intern: "you're a helpful assistant that does marketing." Then they wonder why the output is generic filler.

An agent without a proper operational spec will:

  • Guess at what you want instead of building to a standard
  • Produce inconsistent output across runs
  • Burn tokens iterating on its own confusion
  • Generate work you'd never show a client

An agent with a proper spec does the job once, flags what it can't resolve, and delivers something you'd put your name on.

What's in the kit

agent-spec-kit/
├── README.md              (this file)
├── TEMPLATE.md            (blank spec — fill in your agent)
├── CHECKLIST.md           (completeness check before deployment)
├── examples/
│   ├── product-builder.md (worked example: digital product agent)
│   └── content-writer.md  (worked example: writing services agent)
└── FORMAT-GUIDE.md        (section-by-section breakdown)

How to use it

  1. Read FORMAT-GUIDE.md to understand what each section does and why it's there
  2. Copy TEMPLATE.md and fill it in for your agent
  3. Run through CHECKLIST.md before deploying
  4. Reference the examples if you get stuck

Platform compatibility

This format works anywhere you deploy agents:

  • IronClaw / OpenClaw
  • CrewAI
  • LangChain / LangGraph
  • AutoGen
  • Raw API calls (OpenAI, Anthropic, open-weight models)
  • Custom orchestration frameworks

The spec is the briefing document. How you load it into your agent framework is implementation — the principles are the same everywhere.

Who this is for

  • Independent operators running AI agent workflows
  • Small teams deploying agents for commercial work
  • Developers who can build agents but struggle to brief them effectively
  • Anyone tired of agents that produce confident garbage

About loopwright

We build automation tools for independent operators. Everything we sell, we use ourselves. Our agents run on specs written in this exact format. When we improve the format, buyers get the update.

Questions: loopwrightdev@proton.me