Insights
Expert-level writing on AI strategy, agentic tools, and what it actually takes to ship production systems. Written by the people doing the work, not watching it.
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9 posts
A field-tested framework for writing prompts that behave reliably in production. Moves past 'be clear and specific' into the patterns that actually matter — structure, examples, and when prompting isn't enough.
A new role is replacing the traditional product manager at AI-native companies — the product builder. Here's what the job actually looks like, why it's emerging now, and why the old PM career ladder is quietly breaking.
The difference between AI systems that work and AI systems that embarrass you in production is almost never the model. It's the context. Here's how to engineer context like an adult.
Most AI projects don't fail because the technology doesn't work. They fail because execution breaks down between strategy and engineering. Here's how to fix it.
Nobody wants to talk about data governance. But at every enterprise where AI initiatives stall, governance is the real blocker — not the model, not the use case, not the budget. Here's the practical checklist that actually gets you unstuck.
Cowork is the collaboration surface we live in during engagements — shared agents, shared skills, shared context across the Sprintt team and the client team. Here's the actual playbook.
From empty folder to shipped production feature, using Claude as the primary builder. A real example, with every prompt, every decision, every shortcut we actually used.
Advanced patterns for running Claude Code across an engineering team — not just as individuals. Covers shared skills, subagent orchestration, hook enforcement, and the MCP integrations that turn agents into real coworkers.
