Noetis Engineering · Business engine

Technical Design and Migration Review API

Reviews a technical design or migration plan.

Answers: "Can an engine review a design or migration plan against our requirements?" For engineering leads and architects.

Reviews the written plan only. It does not run code, inspect systems or test infrastructure.

Available today

Implemented

Implemented: runs on the shared runtime with supplied material. One bounded development check on 2026-10-12 took 97s with 14 model calls and ended "incomplete". That is a development signal, not an evaluation. Customer access is by approved account.

What you send

  • Question
  • Supplied text material
  • Text material up to 150,000 characters per run

What comes back

  • Technical review with prioritized findings and a verification plan.
  • Findings with the located quote and a support status from claim review
  • Release status: released, incomplete with reasons, or failed
  • Executed roles, usage and measured cost

Sample

Authored illustration. Written by Encevra to show the workflow. Not customer data and not a recorded model output.

Review this database migration plan.

Plan: migrate orders DB from MySQL 5.7 to Postgres 16 on Saturday 02:00. Steps: stop writes, dump, load, switch app config, resume. Estimated downtime 30 minutes; last test load of 400GB took 3.5 hours. No rollback step listed. Payment webhooks keep arriving during downtime and are not queued. Read replicas will be dropped. Success check: app homepage loads.

The real response shape is documented in the API reference.

How the workflow operates

Each role is a responsibility in the workflow, served by a third party language model. More roles are not automatically better; depth and routing decide which run.

Built with

  • OpenAI
  • Anthropic
  • NVIDIA

Models this engine uses: OpenAI (GPT), Anthropic (Claude), NVIDIA (NVIDIA). Specialists run on OpenAI models and the claim review and final brief on Anthropic models. If a provider has a temporary failure, the step can fall back to an OpenAI model, and the run records that.

Requirements Analyst

Map objectives, constraints and acceptance criteria.

Architecture Reviewer

Examine components, interfaces and dependencies.

Failure Analyst

Identify edge cases and failure modes.

Security Reviewer

Check trust boundaries and security assumptions.

Performance and Reliability Reviewer

Assess scalability, recovery and operational risk.

Verification Planner

Propose tests, rollout checks and rollback conditions.

Evidence and deployment

Evidence

This engine reads the text you send in the request. Each released finding carries the exact quote and its character span in that text, located mechanically before release. Quotes that cannot be located are labelled Insufficient evidence and never shown as source verified. Interpretation is reviewed as a separate step, and gaps such as a missing clause describe what was searched instead of citing text that is not there.

Deployment

Runs on Encevra hosted infrastructure using the third party models listed above. Every model call and fallback is checked against the deployment policy first. Private cloud and air-gapped deployment are planned; discuss deployment requirements.

What it does not handle

  • Executing changes on live systems
  • Uses only supplied material. No freshness guarantee beyond the documents provided.
  • Required for every output during trials.

How to integrate

Send "engine": "engineering" with your question and material from your server. Keys stay server side.

How to evaluate it

No published result for this workflow yet. Build a small answer key from your own work and compare against a strong single model baseline. See the evaluation checklist and method.

Cost and rights: pricing and licensing. Showing outputs to your own customers needs a written agreement.

Optional technical details

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Related engines

Content reviewed 2026-10-12 by the Encevra engine team. Engine version 0.1.0 on noetis-core-1.