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ArcVielLouvent/README.md

Armand Al-Farizy

What the human signs is exactly what the machine executes.

That sentence is the design rule behind most of what I build. AI agents are good at proposing actions and unreliable at deciding which ones are safe, so I put a human approval or a hard validation layer between the proposal and the effect, and I keep a record that can be checked afterwards.

How that shows up in practice

Principle Where to see it
The model proposes, the system decides. A language model never has the last word on a destructive action. yomi-triage-system treats the model as an untrusted reasoner and gates containment with fixed rules. kuro-sre-mcp runs a rollback only after an engineer approves it.
Access is temporary by default. Permission is granted for a scope and a time window, then expires without anyone remembering to revoke it. tegata checks for a valid, unexpired grant on every request instead of trusting a status flag.
Records should be verifiable, not just present. tegata keeps a hash-chained audit log and ships a script that recomputes the chain independently. Yomi seals each decision into a signed ledger.
Agents connect outward. Customer infrastructure should not need an open inbound port. StrataCore uses an outbound-only agent. The protocol is documented with runnable code in stratacore-agent-examples.

Current work

StrataCore creates a preview environment for every pull request on servers the customer controls, and reports drift, spend and right-sizing across services. Built with Next.js, Supabase and Paddle, with billing changes that show the exact amount and require confirmation before anything is charged.

Other projects

Project Summary
tegata Time-boxed privileged access with a signed approval document, live enforcement and automatic expiry. Built for the DevNetwork API + Cloud + AI Hackathon 2026.
yomi-triage-system Incident response engine that drives SANS SIFT forensic tools through a type-safe MCP server.
kuro-sre-mcp MCP server that lets an AI assistant diagnose incidents from runbooks stored in Notion, with human approval before rollback.
PJK-RM119-CareerMatch-AI Capstone project that matches CV skills to job postings with TF-IDF.

A lesson worth recording

Yomi was entered in the SANS Find Evil! hackathon and did not place. Its live containment design held up, but the competition rewarded depth of post-mortem analysis, and the project claimed more than it had tested. I rebuilt it with narrower claims and deeper test coverage; the plan and the per-phase log are in the repository. I would rather publish a smaller claim I can prove.

Stack

TypeScript, Python, JavaScript, Next.js, Supabase, PostgreSQL, Model Context Protocol, GitHub Actions, Playwright, Cloudflare.

Contact

The best way to reach me is a GitHub issue or discussion on the relevant repository.

Pinned Loading

  1. yomi-triage-system yomi-triage-system Public

    Yomi is engineered to operate on a fundamentally faster timeline. By orchestrating SANS SIFT Workstation forensic tools through a strict, type-safe Model Context Protocol (MCP) server and evaluatin…

    Python 2

  2. tegata tegata Public

    Time-boxed privileged access: an AI drafts the request, a human signs a real document, Xano enforces it live, and access auto-expires -- no standing permissions, no forgotten cleanup.

    TypeScript 1

  3. PJK-RM119-CareerMatch-AI PJK-RM119-CareerMatch-AI Public

    CareerMatch AI: Sistem otomasi berbasis NLP untuk mengekstraksi dan mencocokkan data keahlian CV dengan database lowongan pekerjaan menggunakan algoritma TF-IDF. (Capstone Project PJK-RM119)

    Jupyter Notebook 1

  4. Vault-Tester Vault-Tester Public

    TypeScript

  5. kos-mvp kos-mvp Public

    Python

  6. stratacore-agent-examples stratacore-agent-examples Public