Flight recorder for regulated AI code

When regulators ask why your AI wrote that code,
Ichnos already has the receipt.

Skip the audit scramble. The record wrote itself while your team stayed focused on shipping. No war room. Just answers, ready before the question.

Runs inside your own walls. Works with Claude Code. Cursor and GitHub Copilot coming.

AI code provenance report
Verified
120AI-generated changes recorded

Human oversight

Accepted46%
Accepted with modifications29%
Rejected14%
Pending11%

Models used

gemini-3-pro33
claude-opus-4-831
claude-fable-530
gpt-5.126

Engineers involved: 5.

Integrity: 120 of 120 records passed cryptographic verification.

When an auditor asks how an AI-written change was reviewed, most teams have nothing on record. Ichnos already has it: what the model chose, what it assumed, and who signed off.

Your AI coding assistant shows no work.

AI coding assistants leave no rationale behind. Engineers waste hours reverse-engineering what the model assumed, chose, or skipped. As AI-accountability expectations tighten through 2026, teams increasingly need documented provenance for AI-written code, and few can produce that record today.

Engineering cost

Hours lost reverse-engineering AI decisions that were never written down.

Compliance cost

No defensible record when customers, auditors, or leadership ask how AI-written code was reviewed.

Knowledge loss

When an engineer leaves, the context behind every AI-written change leaves with them.

A decision record for every AI change. Automatically.

A lightweight layer that connects to Claude Code, with Cursor and GitHub Copilot on the roadmap. Every AI-generated change is captured automatically: provenance, decisions, and human review, kept in git as you work and preserved in an independent system of record.

Provenance

Which model. Which version. Which prompt. Which engineer. When.

Decisions

The AI’s choices in plain English: "chose polling over webhooks because X; assumed IDs are unique."

Human disposition

What was accepted, modified, or rejected. The complete review trail.

Tamper-evident

Every record is preserved in an independent, server-side system of record and re-verified on demand, so the trail cannot be quietly rewritten.

Kept in git as you work and preserved in an independent system of record. Readable as a log. Exportable as a provenance report in one click.

Zero-friction capture. Real audit trail.

Four steps from install to an audit-ready record.

1

Sign up & install

Connect Ichnos to your AI coding assistant once. About 60 seconds, then nothing for developers to remember.

2

Capture

Every AI decision is captured automatically the moment it happens. Nothing to copy, nothing to remember.

3

Review

See what the AI chose, assumed, or skipped, and mark it accepted, modified, or rejected.

4

Report

Turn the trail into an audit-ready provenance PDF whenever you need it.

A working idea, out in the open.

See the demo. If it resonates, let's talk.

No signup, no pipeline. Just a conversation.

ABOUT

Built by someone who would rather ship the thing than write a deck about it. Applied AI to move from problem to product, fast.

The sooner you see the return, the sharper you move.

Repo is private. Investors, builders, and collaborators: welcome.

β€œThis is just the beginning.”