Gatien
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Gatien
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Freelance AI
Gatien works as a freelance AI developer to turn a fuzzy idea into a usable prototype, then into an integrated tool. The goal is not to “do AI” to tick a box. The goal is to remove a business friction, make a process more reliable, or give a team an assistant that is actually useful.
What can be built
Every project starts from a real workflow, real examples, and an output the team can check.
A first testable version to check business value, required data, and limits before you invest more.
Workflows that sort, extract, enrich, summarize, or route information in your existing tools.
Guarded assistants with roles, permissions, sources, logging, and human review when it is needed.
Interfaces that connect your documents, knowledge bases, or applications to a language model.
Use cases
These examples are a starting point. The right scope depends on your data, your users, and the business risk.
Classify emails, support requests, leads, or tickets before the team handles them.
Turn recurring PDFs, forms, emails, or documents into structured data.
Answer from internal procedures, contracts, product pages, or knowledge bases.
Help a team prepare a reply, complete a file, or produce a verifiable summary.
How a mission runs
Clarify the business problem, the users, the available data, the constraints, and the expected result.
Build a first testable version on real examples, without overbuilding the architecture.
Check answers, errors, edge cases, permissions, and how much human review is needed.
Connect the tool to existing systems: internal app, CRM, Slack, Teams, email, document store, or API.
Hand over a maintainable base: code, configuration, known limits, success criteria, and next steps.
Stack
Deliverables
Scope
FAQ
Have an AI tool to validate? Send the context, available examples, and the current workflow.
Contact GatienWhen the need is concrete, you want to move fast with a technical person directly involved, and the first goal is to validate a useful prototype or integration.
Yes, if the business problem is clear. Scoping exists to translate the current process into a simple technical scope.
Not necessarily, but you do need real examples. The quality of the data and test cases often decides the quality of the prototype.
Read next
A first useful version that turns a hunch into a product or operations decision.
Automations wired into existing tools, focused on the tasks that actually consume time.
LLM integrations treated as software product work: useful, testable, observable, and maintainable.