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AI in production, in practice.
Real workflows, measured outcomes, and the lessons from an 18-month internal rollout - no hype.
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Latest from our team
Spec-Driven Development: AI Code That Matches Your Architecture
AI agents can write a feature in twenty minutes, but ungoverned output drifts. Spec-driven development bounds an agent with architecture rules, a written specification, and acceptance criteria so generated code fits your system instead of fighting it.
AI Consulting Near Me: Strategy, Build, and Ongoing Support
Most AI projects die in the same spot. Someone hands over a polished strategy deck, and then nobody knows how to turn it into a system that actually runs.
Why Vibe-Coded Apps Die in Production (And What We Do Instead)
The prototype took a weekend. The demo landed, the room nodded, and the thing you built with a few well-aimed prompts looked like a product. Then real users...
AI Strategy Implementation: Why Shipping Beats Planning
The deck was beautiful. Forty-two slides, a maturity curve, a freshly minted "Head of AI," and a steering committee that met every other Thursday. Six months…
12 Best AI Agent Development Companies in 2026, Scored
The hard part of an AI agent project is rarely the model. It is picking who builds the thing. Search "AI agent development companies" and you get a wall of…
Production-Ready AI Code: A Definition of Done
A demo runs clean. The feature works, the pull request is green, and the engineer who prompted it merged in an afternoon what used to take three days. Six…
AI Strategy Consulting: What It Is and How It Works
Most companies now have AI somewhere in the building. A chatbot in support. A forecasting experiment in finance. A copilot license that a handful of engineers…
AI Agent Governance: When to Let Agents Act, Ask, or Be Reviewed
AI agent governance is a decision-rights problem, not a model-choice problem. Place every agent action into one of three modes - Autonomous, Approve-before, or Review-after - using a five-question decision tree your Risk and Legal teams can defend.
AI Agent Governance: Where the Decision Right Lives
Choosing a model takes an afternoon. Answering "who is accountable when the agent does something wrong?" can stall a deployment for a quarter. That second…