Industrialize an AI agent

5looping steps
5orchestrated sub-agents
6non-negotiable guardrails
6industrialization principles

01 · SITUATION

The context 

The gap between a POC that impresses in a demo and an agent that holds in production is immense. Projects always die on the same pitfalls: monolithic prompt, single-vendor dependency, silent hallucination, content overflow, no pivot plan. None of these problems concern the AI model itself.

02 · METHOD

5 looping steps 

Strategic scoping

Define the exact perimeter, the measurable business objective, the non-negotiable guardrails before writing the first prompt line.

Iterative challenge

Test hypotheses in real conditions. Identify breaking points before they hit production.

Self-contained brief

Each agent is documented in a Technical Brief that allows anyone to pick up, maintain or evolve the solution.

Autonomous execution

Factory of 5 orchestrated sub-agents (Architect, Developer, Tester, Reviewer, Writer). Decoupled architecture, automated tests.

Versioning & maintenance

Versioned code, in-house team trained for maintenance, documented pivot plan. The solution belongs to the company.

THE FULL CYCLE OF A PHASE (FROM FRAMING TO DELIVERY)

STEP 01AI ChatStrategic brain,dedicated projectSTEP 02Challenge5 to 30 iterativequestionsSTEP 03BriefSelf-contained, 800-1500linesSTEP 04Agent factoryAutonomous executionSTEP 05VersioningDedicated branch, Gitrepo↺ Iteration to the next phase

Strategic thinking → autonomous execution → versioning.

AGENT FACTORY ARCHITECTURE

BRIEFSelf-contained input documentMain orchestratorReads the Brief · Delegates to sub-agents · Validates stop criteriaROLE 01ArchitectAnalyzes · AnticipatesROLE 02DeveloperCodes · ImplementsROLE 03TesterVerifies · ValidatesROLE 04ReviewerSecures · AuditsROLE 05WriterDocuments · ReportsDELIVERABLESCode · Tests · Phase report

03 · GUARDRAILS

6 non-negotiable guardrails 

Verifiable quality: objective exit criteria and systematic review before validation, never 'looks like it works'
No infinite loops: explicit stop criteria and an iteration cap on every sub-agent
Token consumption monitored: a budget per task, an alert on overrun, zero silent overspend
Work time projected upfront, with the gap measured at every delivery
Decoupled architecture: model and vendor portability without a rebuild
Mandatory human validation on critical decision points

04 · RESULTS

What you get 

Proprietary solutions coded in-house, without a dedicated technical team
An asset that belongs to the company (documented and maintainable)
Automated tests, versioned code, in-house team trained
Reusable Technical Briefs for each agent
Documented pivot plan (model, vendor, or scope change)

Next case

Frugal AI: controlling the AI bill in production

An AI agent to industrialize?

Let's book 30 minutes.

dianejmaurin@gmail.comLinkedInMalt
Industrialize an AI agent — Diane Maurin