I built OpenClaw Setup. The journey taught me several lessons about AI deployment.
First lesson: start simple. Don't over-engineer the first version. Get core functionality working. Then iterate.
Second lesson: integrate early. Connect to tools your users already trust. Slack, email, calendar. These are familiar touchpoints.
Third lesson: measure what matters. Not vanity metrics. Actual time saved. Actual tasks automated.
Fourth lesson: listen to users. They'll tell you what matters. Build that first.
I've deployed dozens of agents. Each deployment taught me something. I bring that experience to every new client.
The pattern is consistent. Teams that move fast get value. Teams that hesitate wait longer for results.
If you're deploying AI, don't wait for perfection. Ship. Learn. Adjust.
Read my deployment learnings: harshith.vc
Experience beats theory. Deployments teach you what specs don't.