A control system for agentic work

Your AI agents ship fast.
You still have to prove it works.

Agents can claim. AVAA DEV proves.

AVAA DEV is neither an AI nor a model. It's a control system that puts AI agents to work and refuses to call their work "done" without verifiable proof — tests, gates, a sealed record. Verification is mechanical, not another LLM acting as judge.

Deterministic tests Independent verifier Cryptographic seal Local execution
avaa-dev — verifier payment.py
📁 src
  payment.py
  cart.py
📁 tests
  test_payment.py
📁 .avaa
  proof.seal
# generated by the agent — feature/payment
from gateway import bank
from avaa import seal
def validate_payment(amount, card):
if amount <= 0:
raise AmountError("invalid amount")
if not card.is_valid():
raise CardError("card declined")
receipt = bank.charge(card, amount)
return seal(receipt)
def refund(receipt_id):
receipt = bank.find(receipt_id)
return bank.credit(receipt)
▣ AVAA DEV — VerificationDONE AUTHORIZED
tests run — 142 / 142 passed
independent audit — promises = delivery
proof sealed — sha256 9f3a…c1d7
▣ AVAA DEV — VerificationBLOCKED · STATUS REFUSED
tests run — 138 / 142 (4 failed)
independent audit — promises ≠ delivery
proof — not produced · merge refused

AVAA DEV reads the code produced by the agent and returns its verdict — it doesn't write it.

The problem

AI code ships faster than anyone can verify it.

The industry already has a name for it: verification debt. We generate at full speed — and trust doesn't keep up.

0%
of committed code is now AI-generated
0%
of developers don't fully trust AI-written code
0%
only verify it before shipping

Source: Sonar, State of Code — Developer Survey 2026 (1,100+ developers). "Verification debt" — term attributed to Werner Vogels, CTO of Amazon.

How it works

Five steps. Only one can write "done."

The agent doesn't decide it succeeded. The control chain decides for it — and only if every link holds.

1

Produce

The AI agent implements the task and announces "it's done."

2

Test

Deterministic tests and gates actually run.

3

Audit

An independent check re-reads: promises vs actual delivery.

4

Seal

A tamper-proof cryptographic record is produced.

5

Done

"Done" status authorized — only if everything held.

A link breaks? The status stays "not done." No proof, no "done." — that's our rule: NO CODE, NO DONE.

What it is

Agents produce. AVAA DEV verifies and proves.

An AI agent says "it's done." AVAA DEV doesn't take its word for it. It runs the tests, passes the gates, seals a tamper-proof record — and until the proof exists, the work is not "done." The producer never validates its own work.

The demonstration

Same task. With and without control.

An agent announces "feature shipped ✅". On the left, you believe it. On the right, AVAA DEV demands proof before writing "done."

without-controlBLIND TRUST
$ agent run feature/payment
agent › implementation complete
agent › ✅ it's done
merge accepted (on its word)
deploying to production…
— 3 days later —
✗ regression in prod
✗ no proof of what was tested
? who validated it? the agent itself.
with-avaa-devPROOF REQUIRED
$ avaa run feature/payment
agent › implementation complete
agent › ✅ it's done → to be verified
gate › running tests… 142 passed
gate › independent audit… OK
gate › cryptographic seal… sealed
✓ verifiable proof produced
✓ status DONE authorized — not before.
who validated it? an independent check.

If a single step fails, the status stays "not done." (Illustrative demonstration — the real mechanism is reproducible.)

What changes

Four principles no one assembles.

Other tools record after the fact or have another LLM judge. AVAA DEV does the opposite.

Preventive

It blocks "done" without proof, instead of narrating the incident afterward.

vs. forensic log "we'll understand later"
⚖️

Separation of powers

The producer never validates its own work. Verification is independent.

vs. the agent declaring itself successful
🔏

Tamper-proof

Cryptographic seal + external verifier, against forgery of the proof by the producer itself.

vs. a ledger the producer can rig
⚙️

Mechanical

Deterministic gates and tests. Not another LLM that "judges" and can hallucinate in turn.

vs. LLM-as-judge
Why now

The regulatory wind is blowing toward proof.

These texts do not mandate AVAA DEV and don't make it "required." But they make traceability of what AI produces increasingly expected in regulated sectors.

EU AI ActTransparency from Aug 2026; "high-risk" obligations pushed to Dec 2027 / Aug 2028.
DORAIn force since January 2025: operational resilience, ICT third-party register.
Cyber Resilience ActSBOM mandatory on 11 Dec 2027; vulnerability reporting from Sep 2026.
EU sovereigntyLocal execution: code and proofs that stay on your own infrastructure.

Timelines updated for the late-2025 "Digital Omnibus" agreement (still provisional until published in the Official Journal). AVAA DEV sells no compliance guarantee: it provides traceability and proof, not legal advice.

Who it's for

For whoever answers for what goes to production.

  • Security & compliance leaders (CISO) in regulated sectors
  • Finance & insurance subject to DORA
  • Public sector & operators sensitive to sovereignty
  • Teams deploying AI agents who must prove what they ship
  • Any developer who wants to be sure the generated code is actually implemented, not just announced
Sovereign advantage

Your code and proofs never leave your infrastructure.

AVAA DEV can run locally, with no dependency on a non-EU cloud. A position non-EU players struggle to offer.

↗ Sovereign cloud deployment on the roadmap.

Frequently asked

What people ask us most.

Is AVAA DEV an AI?
No. It's a control system that orchestrates AI agents and verifies their work. It does not generate the code itself: it proves the produced code does what it claims.
How is it different from a regular CI/CD pipeline?
CI/CD runs tests. AVAA DEV adds three things CI/CD doesn't have: separation of powers (the producer never validates its own work), refusal of the "done" status while proof is missing, and a sealed tamper-proof record verified independently.
Which AI models or agents are supported?
AVAA DEV is provider-agnostic and multi-provider: you plug in the models of your choice. It mediates between you and the configured LLMs, with no lock-in to a single vendor.
Does my data leave for a cloud?
Not necessarily. AVAA DEV can run locally: code and proofs stay on your own infrastructure, with no dependency on a non-EU cloud.
Is it available today?
AVAA DEV is at prototype stage, in design-partner access. Access is deliberately limited: we co-build with a select few partners in regulated sectors, on real cases — not a promise, a reproducible demonstration.
Design partner access

We're opening a few seats to build together.

AVAA DEV is at prototype stage. Access is deliberately limited: we co-build with a select few partners in regulated sectors, on real cases — not a promise, a reproducible demonstration.

or directly: contact@avaadev.fr

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