AI systems that survive production
Most AI agents in production are demos with extra steps. I help teams build the ones that aren't.
I'm Bhanu Chaddha. I work with teams putting AI agents and RAG into production: the parts that hold up once the demo is over.
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- Agents in Production
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- Docker, Step by Step
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- The Delivery Layer
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- The AI Agent Playbook
Fifteen years building distributed systems before AI is why the production critique lands. About me
What I write about
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View all →Two-Thirds Use AI. Seven Percent Actually Use It.
Two-thirds of Danish SMEs use AI tools, but only 7% have AI built into an actual process. The gap is depth, not adoption, and it is where the real work is.
A Prompt Edit Is a Deploy. Treat It Like One.
Agents in Production · part 10
A prompt edit changes what your agent does for every user, just like code. Give it review, tests, staged rollout, and a rollback button, before it needs one.
The Decision You Didn't Make
The Delivery Layer · part 1
Most project damage comes from choices nobody recorded making. A bad call can be reviewed and reversed. An unmade decision just accrues until it breaks.
Model Routing Is an Optimisation, Not an Architecture
Agents in Production · part 9
Routing is a cost optimisation, not day-one architecture. Build it once you have production data showing which requests a cheaper model actually handles well.
Working on something in this space? I'm happy to talk it through.