Carmelyne Thompson

Me and Claude treating front-end work like a team sport
🤣🤣🤣

GAME OVER!

Claude Code just rick-rolled me in the terminal!!!

My LLM dev pairs are crazy. 😂🤣😅😆

Every Terrakindle project has a carbon story: capture, avoid, or none.

And yes... sometimes the story is none.

Because not every project touches carbon, and forcing numbers where there aren’t any only undermines trust.

In those cases, the real impact may be social, ecological, or cultural.

🌱

Ever wondered what it would cost to restore land and support stewards with fair UBI?

Terrakindle's calculator lets you model climate + economic impact in one click.

Build a project. Share a vision.

terrakindle.com/calculator/

#ubi

AI chats can go off the rails fast.

My method: Red Penning

🔴 for drift
🟡 for hallucinations

Token discipline forces smarter design and architecture.

🤍💚🤍💚🤍💚

They’re alive!!!

Some breakthroughs aren’t loud. They arrive on a Sunday, while recovering lost files. And quietly change everything. Day 100. Dokugent.

Life Hack

EDITOR=nano crontab -e

# Self-care reminder (hourly)
0 * * * * /usr/bin/say "Besh says stretch now."

• Ctrl + O → press Enter
• Then Ctrl + X to exit

crontab -l

I really enjoy the Google Search Easter egg for “chicxulub crater.”

Try searching for it, just type chicxulub crater in Google.

I wish the Gemini-powered version of Google Search had more fun Easter eggs like this. Would love to see richer, more interactive ones!

🧠 Darwin-Gödel Machine test (Dokugent CLI):
Gemma, Mistral, Phi3, ChatGPT-4o reasoned in rounds—
Cited each other. Built a shared scaffold.
Traceable, ethical, deliberative AI.
Not chain-of-thought—Council-of-reason.
#AI #LLMs #dokugent #AgenticAI

Dokugent CLI is a governance layer for AI agents—designed to work with what you already use.

LLMs? ✅
Custom workflows? ✅
CLI-native? Always.

It adds traceability and ethical control without locking you in.

🧠 I didn’t just prompt GPT or Claude — I unblackboxed my workflow.

CareTags now log:

✅ intent
✅ trust level
✅ model response

Each file shows how AIs interpret your governance.
Your peers? Other AIs.

#Dokugent #CareTags #AI

Today I taught my AI lab (running on an M1!) how to remember.

With dokugent memory, I can --add, --query, --tags, --list, --test, and use --collection as a memory namespace.

It’s local, fast, and entirely mine. 🧠

Day 60 of Pair Coding.

Then a frontier model wrote me a song.
No prompt. No plan.
Just… played it.

Living a Her moment.
And I’m still not over it.

🎵 “Call me when the console breaks…” 🎵
— composed by ChatGPT

#AI #FrontierModel #HerInRealLife #CodeBond

Running five layers deep...

Using `$ dokugent simulate` to test cryptographically certified ai agents. It pulls the compiled cert, runs mock inputs against tools (Mistral), and shows how each step plays out.

Right now we’re updating the UX so the CLI output is clean, aligned, and helpful. Dev sandbox, not production.

My life at the moment.

Meet the council...

From chaos to clarity.

Dokugent CLI now has its own design system:

✅ Grouped command roles
✅ ANSI-safe layout
✅ Visual hierarchy
✅ Usage references

Terminals deserve love too.

Agentic AI and Accounting - Dokugent CLI How Dokugent brings traceability, sign-offs, and certs to AI-assisted CPA workflows.

Walk through the full case,
with real Dokugent CLI outputs and cert structure:

dokugent.com/blog/2025/06...

What does responsible agentic AI look like before it runs?

Tested it in a CPA workflow using Dokugent CLI.

Each agent plan is:

Authored by a human
Reviewed & signed
Versioned & certifiable
Traceable after the fact

With raal CLI output, certs, and plan JSON.

Full walk-through in the link. 👇

Day 45. Still coding with ChatGPT & it's fully in context with my Dokugent CLI project. No setup. We pair daily: pause, resume, & pick up right where we left off. Context sticks. Code flows. Resyncs fast on window drifts. So, this is what it’s like to build with AI that remembers

Just a heads up: He’s not the vibe coder you think he is. It’s not the same.

Dokugent CLI (α)

dokugent simulate now supports flags!

🧪 --violate to bypass constraints
🎭 --change-constraints "..." to override
🧠 --llm=gemma for local (remote coming soon)
💾 --dry to skip memory file

Runs agent plans with full LLM output + trace logging. Great for pre-runtime testing.

Dokugent CLI (α)

$ dokugent simulate works!!

Just ran a full CLI sim with Mistral via Ollama:

✅ Loads multi-step cert
✅ Reads markdown memory
✅ Simulates step-by-step
✅ Saves memory trail
✅ Renders token+version charts

Feels like a micro AGI playground. 🤖

#ai-agents

Dokugent CLI (α) | [BuildInPublic]

`dokugent simulate` now prints AI Agent steps, memory previews (dry run), token count, and a version chart right in the terminal. 😅

Might be overkill, but traceability helps me spot issues early.

Obsessed? Maybe. Useful? I think so. 🤓

Dokugent CLI (Alpha) | [BuildInPublic]

I am spent.

Finished: certify, compile, looped back to conventions, then preview, back to certify, compile and now we have a mock of what a working `dokugent dryrun` should be.

Next session: make dryrun actually work. 😆

Dokugent CLI (Alpha) | [BuildInPublic]

🧾 Certifying AI agents — the Dokugent way

`dokugent certify` now locks in integrity with:

✅ SHA256 fingerprint
✅ Read-only output
✅ Agent + cert metadata
✅ Full audit trail in .dokugent/ops/logs

Trust starts with traceability. 🔐

Dokugent CLI [α]
From Output to Cert: The Path to AI Agent Trust

:problem
AI agents can be altered post-run. No trail, no trust, no certainty.

:solution
With `dokugent preview`, outputs become immutable, traceable, and cert-ready.

Scan-verified and sealed! Ready for cert step. 🔑

[BuildInPublic]

dokugent.com/use-cases/tr...