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Blog
Practical articles on building, scaling, and shipping software systems with a senior technical lens.
A practical walkthrough of building a WhatsApp assistant that does more than reply — it qualifies leads, captures the fields your sales team needs, and hands off cleanly to a human.
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Stop picking a model by leaderboard rank. A practical framework for choosing between Claude, GPT, Gemini, and open models based on latency, cost, capability, and where your data can live.
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Shipping an AI feature is the easy part. Keeping it reliable in production takes evals, guardrails, and monitoring. Here is what each one is for and how they fit together.
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Tool calling is how an AI model stops talking and starts doing — reading your CRM, updating a record, sending an email. A hands-on guide to designing tools models can use reliably.
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An AI that answers is a chatbot; an AI that acts is an automation — and automations that touch real systems need idempotency, retries, and a human in the loop. Here is how to build them to last.
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