3 reads.
The best long read on why a top-tier model isn't the point. The system around it is. Loops, memory, verifier sub-agents, and state files are what make each run leave the next one smarter, and the piece lays out the whole stack with cost-routing advice for when to reach for the expensive model versus a cheap one. Long, but it's the map most people are missing.
The clearest map of where interfaces are heading: agents drawing the UI in real time instead of describing it. Three patterns, controlled, declarative, open-ended, each with a different failure mode at scale, and most teams pick one by accident. If you build anything agent-facing, this is the decision tree to read before you're locked in.
The canonical piece on dynamic workflows, from the Anthropic engineer who built them. Claude writes its own custom harness on the fly to beat the failure modes of one long context window: laziness, self-preference, goal drift. The example prompts alone are worth the read, and it names the reusable patterns (fan-out, adversarial verify, tournament) you'll see everywhere else. Start here.