Real insights from building production AI systems, automating agency workflows, and rescuing failing projects. No hype. No fluff. Just what actually works.
The explosion of autonomous agents (100k GitHub stars in a week) signals a paradigm shift. What this means for businesses and how to evaluate agent-based solutions.
Practical guide for agencies drowning in repetitive work. What to automate, what not to, and how to implement without breaking existing workflows.
The gap between AI demos and production systems. Based on real patterns we've seen. Honest about what fails and how to be the 11% that ships.
When to use which retrieval architecture. Real tradeoffs based on production experience, not vendor marketing.
Actual cost breakdowns with specific numbers. When local inference makes sense, when cloud wins, and how to model the decision.
We build production AI systems and automation that actually ships.
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