Agent workflow design
Define the task, available tools, boundaries and completion rules.
AI agent development and integration · By Hassan Adaminejad
Give an AI agent real work to do—safely.
Design and connect AI agents that can use the right data, call existing tools and complete bounded business tasks with clear controls.
An agent is useful when it fits the workflow around it.
I connect AI agents to product APIs, internal data and third-party services while keeping permissions, validation, human approval and recovery explicit. The result is a maintainable product capability rather than an isolated demo.
API and data integration
Connect agents to trusted product data and existing services.
Human approval
Add review points for sensitive, costly or irreversible actions.
Observability and recovery
Track decisions, validate outputs and handle retries and failure states.
Direct, senior delivery.
Clarify
Define the business goal, constraints, users and smallest valuable delivery.
Architect
Choose a maintainable technical path and make important trade-offs explicit.
Build
Deliver in visible increments with testing, review and clear communication.
Ship and improve
Release safely, measure the result and strengthen the product where evidence points.
Have a project in mind?
Work directly with Hassan through Sarav for a focused build, product improvement or ongoing remote engineering partnership.