Insights

Notes from the work.

Q: Who writes the J Labs insights?

John McCoy, founder of J Labs, writes every piece. The notes come from real engagements rather than general AI commentary: the failure modes, the cost breakdowns and the architecture decisions are the ones we have actually had to live with on client work.

Q: How often does J Labs publish new insights?

Roughly weekly. The hub runs across five topics: AI integration playbooks, legacy modernisation, department deep-dives, industry briefs, and cost and infrastructure, and new pieces are added to whichever topic the current engagement work is surfacing, rather than on a fixed editorial calendar.

Q: How do I get new pieces as they publish?

Sign up for the weekly note on this page: one short email a week with patterns from the work and sources, no spam and no funnel. You can also come back to /insights directly, filter by topic using the chips above the article grid, or bookmark a topic that matches the decision in front of you.

Q: Are the J Labs insights free to read?

Yes. Every article on /insights is free, with no sign-up wall and no gated sections. The free guides at /guides are the checklist versions of a handful of these pieces; the paid training manuals under /training are a separate, deeper body of material.

We publish what we learn shipping AI integrations across industries. Patterns that survived a real engagement, sources for everything, and absolutely no generic AI takes.

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Featured

01 May 2026Cost & infrastructure14 min read

What AI integration actually costs a 50–500 person company.

Most cost breakdowns either lowball the model bill or hide the change-management drag. Here is the real ledger from twelve recent SMB engagements: where the money goes, where it disappears, and the three sinks that swallow most of the budget. We map it to four common project archetypes (RAG over docs, AI in CRM, AI underwriting, internal copilot) so you can self-locate before the first sales call.

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