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AI engineering
Building agents and LLM systems that hold up once real inputs arrive.
- AI engineering3 min readNot every agent in your pipeline should be an LLM callMost agent pipelines route validation, formatting, retries and the final write through the model. Those are the steps that should never vary, and handing them to a model is what makes an agent flaky and expensive.
- AI engineering3 min readAI made execution cheap. Judgement did not get cheaper.Building an autonomous agent took days instead of months. Deciding which tasks deserved automation took far longer, and that gap is not closing.
- AI engineering4 min readI plan agents in two models before I write any codeA method for building AI agents that starts with architecture and adversarial review instead of a system prompt, and why it costs less than rearchitecting later.
- AI engineering2 min readMost AI agents never reach productionDirectional survey figures put agent shipping near 80 percent, production at 31, and org-wide scale at 23. The cited blockers are integration and data quality rather than model capability.