Brado Greene

Why recursive multi-agent workflows are triggering massive enterprise compute bills, and how to build deterministic cost guardrails. Summary The enterprise push toward autonomous multi-agent systems has exposed a severe operational vulnerability: the staggering cost of non-deterministic runtime orchestration. While recursive looping and continuous self-correction prompts excel at handling ambiguous tasks, they trigger exponential token consumption by repeatedly stuffing entire context windows...

Demos are easy, but connecting non-deterministic AI models to fragmented internal legacy systems is where enterprise value goes to die. Summary The overwhelming failure rate of enterprise AI pilots is rarely a failure of core model intelligence; it is a structural failure of system integration. In the rush to secure budgets, technical architects and consultants frequently build proofs of concept inside pristine, isolated sandbox environments using curated static data. This approach creates a...

Why the world's most advanced software companies are realizing that automation still requires an army of specialists to deliver real ROI. Summary The launch of dedicated AI deployment ventures by OpenAI and Anthropic to scale massive armies of embedded engineers exposes a fundamental miscalculation in the market. Enterprise AI is not a traditional software-as-a-service product. While organizations have spent the last two years treating generative models as plug-and-play tools, the friction of...