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](https://carmelyne.com/building-my-first-local-ai-agent/)** project is:

![Mistral AI Agent Dokugent Test](/content/uploads/2025/05/agent-summarizer-mistral.jpg)

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](https://dokugent.com/) – [Dev Log 003](https://dokugent.com/blog/2025/05/24/dev-log-day-35-signed-agents/) was co‑written by [ChatGPT](https://chatgpt.com/) (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](/ai-assisted-dev-letting-ai-code-while-i-do-qa/)

**END_OF_REPORT** 🌿✨