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Notes from building micro automations for real teams — where AI helps, where it does not, and how to design around actual workflow friction.
On-premise, private cloud or vendor cloud AI? Plain definitions and a practical checklist to help a growing company decide where its AI should run.
Read articleTwelve plain questions to ask any AI provider before you sign: where the model runs, who sees your data, retention, training, exit terms and real costs.
Read articleAI agents, RAG, self-hosted AI, shadow AI and more. Plain definitions of the AI terms business buyers see in proposals and contracts, a few sentences each.
Read articleA private deployment keeps your data inside your walls. It doesn't decide who inside can see it, keep a record of who asked, or check the answers. A plain checklist before you go private.
Read articleA BAA and a no-training promise are contracts, not architecture. Here's how to keep proprietary data inside your own organization while still using AI on leased hardware you control.
Read articleAdopting AI doesn't start with a transformation budget. It starts with the chatbot you already use—and then asking which of your tasks shouldn't exist anymore. A practical three-step path from ChatGPT habits to embedded automation.
Read articleUploading files to ChatGPT works for quick tasks, but it's fundamentally broken for company operations. Here's why a custom Retrieval-Augmented Generation (RAG) system is the only way to build a reliable internal knowledge base.
Read articleWe say no to 80% of the AI requests we receive. Not because we can't build them. Because you shouldn't. The AI industrial complex has convinced companies that intelligence is something you buy, not something you build deliberately.
Read articleWe build custom micro-tools using rule-based automation, AI, or both — whatever the problem requires. We don't sell AI for the sake of AI. We look at your actual bottleneck—the specific step where work stalls, costs pile up, or people get frustrated.
Read articleBig AI companies promise they don't train on your data and delete it after X days. Here's what those claims actually mean, what they expose about your data, and what real privacy requires.
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