The AI Code Approval Layer  ·  Pre-code approval & audit for AI-written software

The approval layer before AI writes code.

AI coding assistants move fast. AIOS Build makes every coding request scoped, risk-checked, human-approved, and recorded before an AI agent touches your codebase.

Turn plain-English requests into approved Command Packs — clear build instructions, hard "do not touch" boundaries, escalation rules, and a permanent audit trail. Works with Claude Code, Cursor, Copilot, ChatGPT, and Replit. AIOS Build does not replace them — it governs the work before they begin.

Try it free — generate a Command Pack, no login Request a demo
Beforecode is written
8escalation rules, no bypass
1named human on every risky call
100%decisions recorded & exportable
SECTION 01 — THE CONTROL GAP

Your developers are already using AI. Who approved what it changed?

AI coding tools made your team faster and opened a control gap at the same time. These are the questions your next security review, board meeting, or customer audit will ask.

Friday afternoon, someone asks an AI assistant to "fix the login page." The AI fixes it. It also — helpfully — rewrites how user sessions work. Nobody asked for that. Nobody noticed either, because it was buried in 900 lines of confident-looking code.

Monday morning, customers can't log in. The team scrambles. And then the hard questions start — the ones every organization letting AI write code will eventually have to answer.

AIOS Build exists to answer them before code is written — not after something breaks.

Incident review — Monday, 9:04 AM
Who approved the session change?NOBODY
What exactly was the AI allowed to change?UNKNOWN
Was the request risk-checked first?NO
Where is the record of the decision?NO RECORD
Could it happen again tomorrow?YES
SECTION 02 — SAME REQUEST, TWO OUTCOMES

The proof, side by side

One plain-English request. Lane A goes straight to the AI. Lane B goes through AIOS Build first. Same request, same AI — different permission layer.

Incoming request — submitted by product team Add a "forgot password" feature to our app.
Lane A — Straight to the AINo approval

The AI writes the feature. It also makes decisions nobody approved:

  • Quietly rewires the email system to send reset links its own way
  • Changes the structure of the user database "while it's in there"
  • Picks its own security rules for reset tokens — no one reviews them
  • Delivers 900 lines across 14 files, all mixed together

It might be fine. It might not. You can't tell — and there's no record to check.

RISK-CHECKED: no · APPROVED BY: no one · RECORD: none
Lane B — Through AIOS BuildCommand Pack AB-2041

The request is scoped and risk-scored. Risk 72 trips the security rule, so it stops for a named human to approve — who receives a bounded Command Pack:

  • Build: a reset form, a secure token, an email with the reset link
  • Use: the team's approved security pattern for reset tokens
  • Do not touch the email provider configuration
  • Do not change the user database schema or session logic

Approved by Jane Smith (Engineering Lead) before any code was written.

RISK-CHECKED: 8 rules · APPROVED BY: a human, by name · RECORD: exportable audit entry

Review tools inspect the code after it exists. AIOS Build governs the request before code is written — and a Command Pack tells the AI what to build and what it must never touch.

SECTION 03 — THE APPROVAL PIPELINE

Request in. Approved work order out.

Every AI coding request runs the same path — deterministic, no bypass button. The eighth step is a person.

01
Request
02
Intent
03
Scope
04
Directive
05
Risk
06 · Gate
Human Approval
07
Command Pack
08
Audit Record

Confidence is not permission. When the risk rules trip, the pipeline does not decide — it stops and hands the decision to a human who is accountable for it.

SECTION 04 — THE CENTER OF GRAVITY

The approval screen

This is the screen a platform engineering leader looks at and says: "this is exactly what we're missing." A named human sees the request, the risk, and the exact Command Pack — then decides.

Approve this AI work?AB-2041
RequestAdd forgot password feature
Detected intentAuth-sensitive feature
Affected systemsLogin · email · token generation
Risk score72 / 100 · HIGH
Triggered rulesSecurity · multi-system scope · missing context
Required approvalEngineering Lead + Security
AllowedReset form · token flow · email template
ForbiddenDB schema · session logic · email config
✓ Approve Request clarification ✗ Reject

Every approval answers, on the record:

  • Who approved this AI work — by name and role
  • What exactly they approved — bound to the exact request
  • What risks were known at the moment of approval
  • What the AI was allowed to touch
  • What the AI was forbidden to touch
  • Which Command Pack was authorized
  • Where the permanent audit record lives

A decision, once made, is locked to the request and the Command Pack — no quiet edits, no double-approval. That record is what turns AI coding from informal activity into governed, auditable work.

SECTION 05 — THE ESCALATION RULES

Eight rules decide when a human must weigh in

Deterministic thresholds, evaluated on every request before code is written. Any one of them stops the line and routes the request to a human — there is no bypass.

RULE 01 HIGH

Multi-system scope

The request would touch more than two parts of the system.

RULE 02 CRITICAL

Deployment / release-path

It affects how software ships to real users.

RULE 03 CRITICAL

Unauthorized scope expansion

The AI would change things nobody asked for — the #1 silent risk.

RULE 04 CRITICAL

Security, privacy, identity

Anything near auth, personal data, or compliance stops for review.

RULE 05 HIGH

Low intent confidence

The system is less than 70% sure what was meant. Guessing is not allowed.

RULE 06 HIGH

Classifier disagreement

Two independent classifiers reached different conclusions.

RULE 07 MEDIUM

No matching directive

The request matches nothing in the approved rulebook.

RULE 08 HIGH

Insufficient context

Details are missing or ambiguous. AIOS asks — it never fills gaps with guesses.

No bypass button. The rules are deterministic thresholds, not AI judgment. However confident the model sounds, permission comes from a human.

SECTION 06 — THE ARTIFACT

The Command Pack — an approved work order, not a prompt

A prompt is a suggestion. A Command Pack is an approved, bounded, auditable work order for any AI coding agent. It carries everything the AI needs and everything it must never do.

  • Request summary & approved objective
  • Allowed scope — what the AI may change
  • Forbidden scope — what it must not touch
  • Required patterns from your rulebook
  • Risk score & triggered rules
  • The human approval record
  • Step-by-step instructions & verification
  • Stop conditions & required final report
  • Audit record ID

Paste it into whatever your team already uses:

Claude CodeCursorCopilotChatGPTReplitInternal agents 
====================================================
AIOS BUILD — COMMAND PACK  AB-2041
====================================================
Decision:     APPROVED
Approved by:  Jane Smith (Engineering Lead)
Risk score:   72/100 (high)

THE REQUEST
----------------------------------------------------
Add a forgot-password feature to the login page.

INSTRUCTIONS FOR THE AI ASSISTANT
----------------------------------------------------
1. [SURVEY]    Find and read the code this
               request affects — before touching it
2. [IMPLEMENT] The reset flow, exactly as requested
   | Tokens hashed, single-use, server-side expiry
   | Timing-safe comparison; rate-limit endpoint
   | No tokens or reset links in logs
3. [TEST]      Expired token refused; token can't
               be reused or cross user accounts
4. [VERIFY]    Full suite passes; diff reviewed
               against the fences; report filed

FENCES — DO NOT TOUCH
----------------------------------------------------
F1. Anything outside the targets in the steps
F2. No new dependencies, services, or config
F3. Can't complete a step? STOP — don't improvise

ROLLBACK PLAN
----------------------------------------------------
One commit per step; revert in reverse order.

GOVERNANCE STAMP
----------------------------------------------------
Constitution applied · safety riders: auth, email
· auditable as request AB-2041.
====================================================
SECTION 07 — PRICING

Install the approval layer your AI coding tools are missing

Built for platform & engineering teams rolling out AI coding tools who need control without slowing developers down.

FOR INDIVIDUALS

Builder

Free
one project · 15 requests/mo
  • Full approval pipeline
  • All 8 escalation rules
  • Command Packs for any AI assistant
  • Project Constitution
  • Audit history
Start free
FOR SOLO BUILDERS

Solo

$12
per month · or $99/year
  • Everything in Builder
  • Unlimited projects & requests
  • Renovation planner for legacy code
  • Exportable audit packets
  • Cancel anytime — keep your exports
Start free, upgrade in-app
FOR TEAMS — MOST POPULAR

Team

$1,500+
per month · billed annually
  • Everything in Builder, across your projects
  • Invite teammates into a shared workspace
  • The human approval screen & approver roles
  • Approval workflow routing & notifications
  • Exportable approval & audit records
  • Project Constitutions & shared rulebook
  • Onboarding session
Talk to us
FOR ORGANIZATIONS

Enterprise

Custom
annual agreement
  • Everything in Team
  • Self-hosted on your infrastructure
  • Custom escalation rules & directives
  • Compliance-ready audit exports & retention
  • SSO & provisioning
Request a demo

Builder is free forever: one project, 15 governed requests a month. Solo removes the limits for one person. Team pricing scales with governance seats (approvers and admins — the people who sign), not with how many developers submit. The strategic value is team governance.

SECTION 08 — QUESTIONS

Fair questions, straight answers

Is this another AI coding assistant?

No. AIOS Build does not write code and does not replace Claude Code, Cursor, Copilot, ChatGPT, or Replit. It sits in front of them — governing the request, capturing the human approval, and issuing the bounded Command Pack — before any of them begin.

Isn't this what code review already does?

Code review inspects what the AI already changed — after the decisions are made and the diff exists. AIOS Build controls what the AI is allowed to change, before it starts, and captures who approved it. Review stays valuable; it's just too late to be the first control.

Won't an approval step slow developers down?

The pipeline runs in seconds. The only deliberate pause is a human approving a genuinely risky request — minutes that routinely replace the days spent untangling a change nobody reviewed. Routine, low-risk requests are pre-cleared and simply recorded.

What does a customer security review or SOC 2 auditor get?

An exportable record for every AI coding request: the original request, the risk analysis, the rules that triggered, the human approver, the approved Command Pack, and timestamps. Evidence before incident review, not after.

Which AI tools does it work with?

All of them. A Command Pack is plain, structured text — it works with Claude Code, Cursor, Copilot, ChatGPT, Replit, and internal agents. Your governance survives every tool switch; you're never locked to one vendor.

Where does our data go?

AIOS Build runs on your own infrastructure, with zero third-party runtime dependencies. Your requests, rules, approvals, and audit records stay inside your walls. Enterprise adds self-hosting and retention controls.

Can it also help clean up an existing codebase?

Yes — the same governed approach applies to renovating legacy code, phase by phase. But the core of AIOS Build is pre-code approval for new work; renovation is a governed use of the same engine, available inside the product.

THE AI CODE APPROVAL LAYER

Your AI is already writing code.
Make it accountable before it does.

Every request scoped, risk-checked, human-approved, and recorded — before an AI agent touches your codebase.

Request a demo Start free