Building Agentic AI
Build agentic AI that works in production.
Practical field notes, articles, and hands-on help for engineers, architects, and technology leaders building agentic AI systems in real organizations.
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What I help with
Evaluate
Is your agentic AI demo ready for the real world? A senior second opinion before scale.
See how I can help → 02Design
Architecture, evals, governance, cost, reliability. The hard parts done with judgment.
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Turn an idea into a working agentic system. Scoped, fixed price, real code.
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Watch the agent work, and book a real call.
A scheduling assistant built as an agent. Its reasoning and tool calls appear in the transcript as it runs. Chat with it and book a 30-minute intro on Muhammad's calendar.
The point
An agent is software that uses a language model to decide what to do next, takes that action, looks at what came back, and decides what to do after that. Everything else is plumbing.
- Aug 14, 2026 Enterprise
The Hard Part of an AI Eval Set Is the Answer Key
An automated score said my retriever was failing badly. I read the failures by hand and found my own answer key was wrong. Here is what that cost, and what it did not fix.
- Jul 27, 2026 Enterprise
What an AI Agent Actually Costs Per Resolved Customer Issue
Most AI contact-center business cases count too little cost and divide it by the wrong outcome. Price your agent per resolved customer issue, not per contained contact.
- Jul 23, 2026 Enterprise
When the Small Language Model Isn't the Bottleneck
On an offline 350M assistant, model choice mattered, and then stopped being the limit. Several failures I blamed on the model started in the system around it.
- Jul 19, 2026 Enterprise
Turn Up AI Autonomy Gradually, Like a Dial, Not an On/Off Switch
Autonomy is not an on/off property of an agent. It is a per-task setting you turn up gradually as the agent earns trust. Here is the dial, and how to move it.