Free Writing

Start with five restaurants whose true quality is unknown, then follow the same problem through multi-armed bandits, dueling bandits, noisy pairwise ranking, and top-K selection: the optimization structure is known, but its parameters must be learned by trying.

Every team has more good ideas than capacity. The hard part is selection — learning to see past the costly signals, prestigious credentials, and compelling narratives to focus on what actually moves the number.

Educational demos, marketing materials, and creative work—problems without a mathematical harness. Part 2 of the Agent Autonomy series shows how orchestrated agent evolution can solve subjective problems through skill-based guidance and multiple independent evaluators.

Devesh ran a shady octopus meat caravan in the Simulation. Top agent, deep cover. Eight tentacles, eight side hustles. A story about love, AI, and taxes.

Agent autonomy isn't for everything. But for a specific slice of work—bounded problems that demand intelligence—it's exactly what you need. Algorithms, articles, demos, education materials, trip plans, webpages. Here's how to recognize when to stop directing and start hiring.