Hassan Revel.

Service · Hassan Revel

Generative AI applications.

Hassan Revel builds language-model applications that fit the product around them. The work covers assistants, copilots, SaaS features and internal tools, with the interfaces and backend services needed to make them useful.

OpenAIGeminiClaude
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Illustration of an AI assistant connected to a product interface and its data
Concept illustration · Generative AI applications

01 · The work

Start with the task

A useful application begins with the job a person needs to complete. Hassan maps the inputs, the decisions the system can support and the result the user expects. That becomes the basis for model selection, prompts, structured outputs and the surrounding product flow.

02 · The work

Connect the model to the product

The implementation includes APIs, data access, tool calling and the interface through which people use the feature. Model responses are checked against the application’s requirements rather than treated as finished work by default.

03 · The work

Make room for iteration

Evaluation examples, failure handling and operational visibility help teams understand where a feature works and where it needs adjustment. Delivery can begin with a focused scope and expand as the product gets feedback.

A practical starting point

Send the current workflow, available data and intended outcome. Hassan can use that context to define the scope, integrations and delivery steps.

Discuss the scope

Related work

The service, in practice.

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