This field changes every 3–6 months — learn by doing, not watching
Ryan is explicit that everything he shares will likely look different in three to six months. The pace of change in AI agent tooling and workflows is that fast. His advice: get your hands dirty and try things yourself. The best way to learn is to do. Waiting for the landscape to stabilize before committing to a workflow means you'll always be behind. Treat your current setup as a working hypothesis, not a permanent answer.
Go deeper with Greg Isenberg
Ask anything about this, and Greg Isenberg answers from everything they've shared.
More to learn
See everything in Learn
Small businesses are deploying AI agents faster than 50,000-person companies ever could
In Hyper Agent's early adoption base, small shops have become surprisingly sophisticated very quickly and are running their operations in genuinely game-changing ways. The reason is simple: a 50,000-person company can't pivot on a dime — th
Hyper Agent targets both power users and casual users with the same product
The design philosophy behind Hyper Agent is to serve the full range of users — from power users who want granular control over how the agent is set up, so they can squeeze out maximum bleeding-edge performance, all the way to people who jus
Choosing an agent platform means choosing an ecosystem — pick deliberately
Greg Isenberg frames platform selection as an investment decision: when you pick a platform — whether it's OpenClaw, Hyper Agent, Codex, or something else — you are investing in an ecosystem. That framing matters because the switching costs