Build applications
Define the outcome, attach the right context, and run a named workflow. The line produces packages your team can review and publish — without writing a custom maze of code for every request.
Factory Line is the production engine inside OdooClass AI Managed Services. You get a governed system that can design, build, update, and publish applications — without hiring a programming team for every change.
Courses go deep into application architecture, design patterns, and the Factory Line pipeline. Paparazzi handles research. Six Sigma KPIs drive continuous improvement. The engine is platform-agnostic — Odoo today, and built to work with stacks such as SAP, Unity, Unreal, and more through the Development Factory and Ralph loop architecture.
Why this exists
Chat assistants help one person once. Factory Line helps your organization reuse context, run workflows, score quality, and ship — again and again.
Define the outcome, attach the right context, and run a named workflow. The line produces packages your team can review and publish — without writing a custom maze of code for every request.
Change the data that drives the job — strategies, context layers, deliverables — and the same rail improves the next run. Continuous improvement is a process, not a heroic rewrite.
Approved outputs move to named destinations through Publish workflows. Review stays on product pages and operator surfaces — not mystery folders or raw API dumps.
Factory Line is included as the engine of our AI Managed Services. We staff the operating model so you get as close as practical to 24/7 AI developers: people-and-system capacity that can build applications, update them, and launch them without requiring you to hire programmers for every change.
Pricing depends on scope, environments, and throughput. The Strategy Session is where we map your stack, outcomes, and the right service tier.
Factory Line engine
We keep the full Factory Line story — the rail, the factories, the research, and the quality loop. What changed: we no longer sell Factory Line source code. Access is through AI Managed Services and training.
One governed path from intake → workflow → stages → package → result. Visible status. Recorded outcomes. Failures you can actually fix.
Reusable instruction stacks and operational settings live as data. Operators choose strong context instead of reinventing prompts every job.
Web research and page capture as permission-aware, repeatable jobs — seed, extract mode, and frontier as job data, not ad-hoc browsing.
Quality Factory scorecards and readiness KPIs turn “looks fine” into a named review step. Improve the workflow, not one lucky file.
Research a domain, materialize a workflow, bind providers, and score readiness before calling something launch-ready.
The Development Factory and Ralph loop architecture let Factory Line act as the engine for AI-managed work across stacks — Odoo, SAP, Unity, Unreal, and more — with the same operating discipline.
On the line
Each factory is a real workflow: strategies, context, processors, deliverables. Available through AI Managed Services — not as a standalone source license.
Governed video packages from strategy and Perfect Context — plates, captions, assembled clips.
Operator and end-user manuals as Markdown and PDF, generated from the same records that run the work.
Architecture and teaching diagrams as editable, row-backed SVG — not locked poster images.
Scorecards and pass/fail on packages another factory already made. If it cannot be scored, it cannot ship.
Repeatable public research and capture. Two hosts, one processor — the recipe lives in job data.
Syllabi and teaching packages on the same rail — including deep architecture and design-pattern courses.
Still jobs on a gold path: identity, catalog, editorial — named jobs, durable assets.
Ships a finished package to a named destination. The destination row selects the adapter.
OdooClass courses go deep into application architecture, design patterns, and extensive documentation of the Factory Line pipeline. Learn how the system thinks — then run it under AI Managed Services so delivery does not depend on tribal knowledge.
Next step
Bring your stack, your bottlenecks, and the applications you need built or updated. We will map whether AI Managed Services — powered by Factory Line — is the right operating model, and what a $2,500+/month engagement should cover.