Architecture & solution assessment
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Method & artificial intelligence

The power of Claude.
An explicit method.

Every step has a precise role. You see what was proposed, what was examined and what remains to be confirmed; the software checks between the steps and you decide.

Both roles are held by two distinct models, actually in service.

01

Proposal

Claude Sonnet

A first model understands your need and proposes an architecture, justified decisions and work packages, supported by your description and the architecture references.

02

Linuen controls

Linuen controls

The software checks the format, the cited references and consistency. An invalid response is a failure stated plainly, never a silent partial result.

03

Critical review by a second model

Claude Opus

A second model, different from the first, examines the need, the scope, the architecture, the security and the effort assumptions. Every finding carries its consequence and the proposed correction; zero findings remains possible.

04

Revision if needed

Claude Sonnet

The first model responds to every finding: it corrects, explains its disagreement, or flags missing information. One revision per assessment only, never presented as reviewed by the second model.

05

Final checks

Linuen controls

The same checks are run again on the revised version, and the application recalculates the estimate.

06

Delivery

Linuen controls

You receive the estimate, the report and a frozen version, with the exact status of the review and its caveats; an email lets you know your project is ready.

Review mode

Two different models from the same company: the one that proposes is never the one that critiques.

Configured roles

Proposal

Proposes the first version, then revises it after the review.

In service: Claude Sonnet, at Anthropic.

Critical review

Critiques the proposal. It is always a model different from the first; if it were not, the review would be refused rather than replaced.

In service: Claude Opus, at Anthropic.

Revision

Revises the proposal in response to the findings; usually the same model as the proposal.

In service: Claude Sonnet, at Anthropic.

An AI review informs a decision.

It does not constitute a certification or a professional validation: the product issues none, and every deliverable says so. A revision is not presented as having been reviewed a second time if that review has not taken place.

  • Two models, from the same company or from different companies, bring a diversity of perspective, not statistical independence of errors or a certification.
  • The review covers the proposal and the project as transmitted; a figure changed afterward is not “reviewed” until a new cycle has taken place.
  • A deliverable is “AI-assisted” or “demonstration,” and it declares so; the product does not replace a person.
  • Excerpts transmitted to providers remain subject to the project's rights and the announced processing conditions; nothing is transmitted before an operation is launched.
See a sample project Methodology