Autonomous AI agents
Build agents around a clear objective: break work into steps, use the right tools, keep track of progress, and check whether the task was completed.
I build autonomous AI agents that turn a goal into a sequence of actions. This is part of my wider work building and introducing autonomous systems and AI systems that can run businesses.
An agent needs to do something useful with its reasoning. My focus is on connecting planning, tool use, and execution to real business workflows, so an agent can carry a task forward, check the result, and ask for input when it needs it.
Build agents around a clear objective: break work into steps, use the right tools, keep track of progress, and check whether the task was completed.
Connect agents with different responsibilities, shared context, and explicit handoffs. Shape the workflow around how the business needs the work to move.
Give agents access to the information and software they need. Define permissions, retain useful context, and evaluate behavior against the task’s actual outcome.
Make the question useful. Keep the work inspectable. Let the result inform the next decision.
Describe who needs help, what the task involves, and what a better result would look like before selecting a model or tool.
Choose a bounded use case and connect the minimum data and tools required to make the experience useful.
Check misleading inputs, missing information, and failure paths. Refine the product around observed behavior and user feedback.
I’ve built autonomous AI agents and autonomous systems. I’ve also built and introduced AI systems that can run businesses. My earlier work delivering platforms, custom CRMs, and business automation gives that work a practical foundation in how organizations operate.
Have a challenge connected to autonomous ai agents? Tell me about the problem, the people involved, and what you’d like to achieve.