Thirty-five days ago, I asked myself:

“What if we could define AI agents like packages with plans, constraints, and versioning?” — Author Name

No wrappers. No black boxes. Just structured, traceable, testable behavior — written in plain Markdown, running on local models.

What I Built (With ChatGPT as my pair)

And yes, it passed validation.

Why This Matters

It’s not a simple LLM project.

This AI Agent project is:

Don’t let the simplicity fool you. This isn’t just output. It’s from a signed, versioned, certifiable agent. GDPR‑aware, ISO‑aligned, and handshake‑ready anytime. You’d know who wrote it, why it ran, and how old it is. That’s infrastructure.

✅ Agent Certified • 🔐 GDPR‑Aware • 📜 ISO‑Aligned • 🧾 Traceable by Design

What’s Next

Stay tuned for upcoming integrations, richer metadata, and community‑driven policy templates.

PS:

Our Dokugent CLI – Dev Log 003 was co‑written by ChatGPT (it was its turn). I’m still not sure if this was a hyper‑focused build streak or the start of something serious, but I do know this:

The CLI runs. The agent follows the structure. And somehow… it feels like the beginning of a system I can trust.

— carmelyne

Related reading: AI‑Assisted Dev: Letting AI code while I do QA

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