AI workflow implementation
Model steps integrated into working processes, with structured output, validation against agreed rules, and review queues where a person has to decide.
Approach
Direct, senior-led delivery, to a written definition of done
Codelab builds AI systems, automation and content production workflows for international clients, alongside the custom software they run on. The people who scope a project are the people who deliver it.
Principles
How we prefer to work
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Success criteria before building
We would rather spend an extra day agreeing what "working" means than ship a system nobody can judge.
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Pilot against real cases
A first run on your actual data exposes the awkward cases while they are still cheap to fix, and gives both sides a shared reference.
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Review by someone else
Validation is a separate step performed by a different person, measured against the written criteria — for a dataset, a draft or a generated cut alike.
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Say what should not be automated
If a step needs human judgement, or ordinary software solves it better than a model, we say so in the reply rather than after the contract.
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Direct communication
One point of contact who knows the project, in English or Brazilian Portuguese, across time zones.
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Documentation as part of delivery
What was produced, how it was checked, and any known limitations — written down and delivered with the work.
Engagement
From first message to delivery
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01
Understand
The process as it runs today, who it serves, what constrains it, and what actually goes wrong. We reply with questions, not a quote.
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02
Design
The workflow, the data it needs, where a model helps, and written success criteria that decide when it is working.
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03
Build
Integration with your systems and APIs, the model and processing steps, and the software that holds them together.
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04
Validate
Run it against real cases including the awkward ones, look at the failures, and correct the design before anyone depends on it.
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05
Launch
Into use with the review gates and approvals the work warrants, and a hand-over that lets your team operate it.
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06
Refine
Watch what it produces, handle the exceptions it surfaces, and tighten the rules that reality disagreed with.
This is a sequence we follow, not a certified methodology. On a language-data project the same six steps read as specification, pilot, production, independent review, delivery and correction — the names change, the discipline does not.
Selected capabilities
The kind of work we take on
Client work is confidential, so this describes capability rather than naming projects or organisations. We are happy to discuss relevant experience directly under NDA.
Editorial & content systems
Software for producing, transforming, reviewing and publishing structured content, including the automation that removes repeated manual handling.
Internal tools & pipelines
Operational applications, review interfaces and data pipelines — the systems a team uses daily rather than the ones customers see.
Custom applications & integrations
Server-rendered web applications and the API and database work that connects them to the systems a business already runs.
Commerce & storefront engineering
Shopify, Shopify Plus and Liquid development, and the integrations that connect a storefront to the operational systems behind it.
Language & speech data programmes
Collection, transcription and annotation for AI and technology teams, including Brazilian Portuguese, run as specified batches with an independent review pass.
Confidentiality
How we handle your material
We describe our practices instead of claiming certifications we do not hold. If your programme requires a formal compliance regime, say so in the brief and we will answer plainly about what we can meet.
- Project material is accessible only to the people working on that project
- Retention periods are agreed in the brief rather than left open
- Source and working material is deleted on request when a project closes
- Where collection involves participants, permitted use is recorded with the data
- We sign client NDAs and expect confidentiality to run both ways
Start a project
Tell us what you need automated, produced or built.
Send a short brief — the process as it runs today, what breaks, and what a good result looks like. We will reply with questions, a proposed shape for the system and what we would need from you to start.