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What we learned building the thing.

Notes from engagements, written by the people who did the work. No thought leadership, no trend pieces — just what actually happened and what we would do differently.

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AI Engineering

AI agents in the enterprise: what actually works in 2026

Beyond the demos: where autonomous agents are producing measurable returns, where they fail, and the architecture patterns that separate the two.

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14 Jul 20269 min read

Platform Strategy

The real cost of forcing your business into template software

Spreadsheet shadow systems, workaround culture, and per-seat drag: how template ERPs quietly tax operations — and when custom becomes the cheaper option.

20 Jun 20267 min

Delivery & Process

Software projects fail in the two months before the code

After 100+ deliveries, the pattern is unambiguous: outcomes are decided in discovery. Here's the requirement-engineering discipline that de-risks big builds.

18 May 20266 min

AI Engineering

RAG beyond the demo: making retrieval actually reliable

Anyone can wire a vector store to a model. Production RAG lives or dies on chunking strategy, permissioned retrieval, evaluation sets, and freshness pipelines.

22 Apr 20268 min

Platform Strategy

Escaping a legacy system without betting the company on a rewrite

Big-bang rewrites fail expensively and publicly. The strangler pattern — applied with parallel-run discipline — retires legacy systems while the business keeps running.

10 Mar 20267 min

Platform Strategy

Build vs buy for enterprise AI: a decision framework

SaaS copilots, platform add-ons, or custom AI engineering? A practical framework for deciding where each belongs in your stack — with the lock-in math vendors skip.

5 Feb 20266 min

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