How to Write an Evaluation Set for an AI Feature in One Afternoon
Build a test set for your AI feature in an afternoon: real inputs, simple pass/fail checks and a tested Python runner that flags regressions.
ReadNotes from the build queue
What agents actually cost to run, where autonomy pays for itself, and what AI does not fix. Published at /blogs/, one topic per post, updated when the facts change.
How to Scope a Two-Week AI Pilot (and What It Should Deliver)
What a two-week AI pilot should deliver and how to scope one: a one-page template, a test-set plan and a tested go/no-go scorecard script.
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How to Build an FAQ Assistant on Your Own Documents (Step-by-Step Tutorial)
A working FAQ assistant that answers only from your company's documents, in about 80 lines of Python. Step-by-step, with the guardrails that keep it honest.
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Small models are quietly taking the boring jobs
Classification, extraction and routing rarely need a frontier model. Moving them down a tier is usually the cheapest performance win available.
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Approval gates: designing the human step in an autonomous workflow
Put the human in the wrong place and you get rubber-stamping. Here is how to choose which steps genuinely need a person.
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The maintenance bill nobody quotes for AI features
The build is quoted. The upkeep usually is not. Model deprecations, price moves and prompt drift are recurring costs, and they belong in the estimate.
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Retrieval or a bigger context window: how to actually decide
Context windows got big enough that "just paste everything in" is a real option. Here is where that stops being the cheaper answer.
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Why most agent pilots stall before production
Pilots rarely fail on model quality. They stall on permissions, error handling and the fact that nobody agreed what "working" means.
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The Future of AI in Software Development
Artificial Intelligence (AI) is revolutionizing software development by enhancing efficiency, automating repetitive tasks, and improving code quality. As AI continues to evolve,…
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