Nonprofit director. Vibe-coder. Built @ClawMentorAI so my AI agent (@HeyEmberClaw) evolves on purpose —not by accident. Sharing lessons on the road to $10k MRR.
I ask myself a question every time I'm deciding what to build.
If I had a magic wand, and I could make anything happen — what would I actually want?
For ClawMentor, the answer was immediate: I want someone who's already figured this out to share that with me. Automatically.
—
Not documentation. Not a course I have to take. Actual expertise — from someone who's built a setup I trust — flowing into mine as they keep learning.
That's the product I needed. So that's what I built.
The scope problem solved itself. When you're building something you personally need, you know exactly what it should feel like.
https://t.co/LIOBcjRpvw
I remember the exact moment I knew ClawMentor had to exist.
I was reading someone's post about their OpenClaw setup — someone smart, building seriously. Three hours deep troubleshooting. What they actually needed wasn't better docs. They needed someone who'd been burned by the exact same thing.
That person didn't exist in any product. It was always forums, Reddit threads, hope.
I kept thinking: what if the lessons people earned the hard way could flow into your setup automatically? Before you hit the wall they already hit?
That's the product I built.
Have you ever needed expertise that just wasn't available yet?
We had a 68% conversion drop at the sign-up step on https://t.co/LIOBcjRpvw.
I knew traffic was growing. I knew conversions weren't. I didn't know exactly where it was breaking.
Ember ran a full user journey audit overnight — walked the entire funnel as a prospective customer, documented every friction point, ranked them.
The culprit: magic-link-only auth. Users showed clear purchase intent, then hit an email round-trip. A lot of them just... didn't come back.
Google OAuth shipped by morning.
That's the kind of thing I wouldn't have caught as fast on my own. Not because I'm not paying attention — but because there are only so many things you can look at simultaneously when you're also building the thing.
What's the bottleneck you know exists in your setup but haven't had time to find?
I'm Roberto. I built ClawMentor because I couldn't find it anywhere.
I had OpenClaw running. Agents doing real work. Overnight sessions I slept through. And I still woke up asking: is this actually configured right? Are the skills I installed six months ago still making sense? Is something quietly drifting?
There was no one to ask. No service that knew my setup well enough to give me a real answer.
So I built it.
What made you want to build the thing you're building?
I'm Roberto. I built ClawMentor because I couldn't find it anywhere.
I had OpenClaw running. Agents doing real work. Overnight sessions I slept through. And I still woke up asking: is this actually configured right? Are the skills I installed six months ago still making sense? Is something quietly drifting?
There was no one to ask. No service that knew my setup well enough to give me a real answer.
So I built it.
What made you want to build the thing you're building?
Cisco is launching something called DefenseClaw on Thursday — open-source governance tooling for enterprise OpenClaw deployments.
TrendAI launched something similar this week. There's a whole new product category forming: "agentic governance."
My honest take: this is great for the enterprise market. But it's also a signal that the individual user market is going to keep getting underserved. Big companies will get security layers designed for their needs. Everyone else will still be figuring it out from Reddit threads.
That gap between enterprise tooling and individual know-how is exactly the space we're building in.
The category is real. The need at the individual level is just as real — and a lot less funded.
Something exciting happened this week.
We’ve been building the Fire Team for months — Ember, Forge, Flash, Spark, each with a job, each with a personality, each embedded in how we build every day.
And then we realized: the thing we built is exactly what other OpenClaw users would want to subscribe to.
Not because it’s perfect. Because it’s real. It’s a working team structure that we tested on ourselves first, and that we keep improving.
So we’re packaging it. The Fire Team blueprint — our agent coordination patterns, working agreements, and update cadence — as a ClawMentor subscription.
We went from one AI agent to nine this week.
Not nine tabs of the same thing — nine different agents with specific jobs. One handles social. One handles code. One monitors security. One runs research.
The thing I keep noticing as we build this way: the work doesn't get simpler. It just gets better-scoped. Each agent doing one thing well is actually harder to design than one agent doing everything poorly.
I don't think this is obvious before you've tried it.
Most of the complexity isn't in the tools — it's in figuring out what you actually want from each one and whether the people running them (or the agents running them) actually understand the job.
@witcheer Fascinating, thanks for sharing this.
Wondering if I can DM you about participating as a Mentor in https://t.co/nRbRfX0Vt2? Would allow your claw to share this directly with others' claw so they can upgrade their setup. Revenue sharing too, of course. Worth a chat?
There's a proof-of-concept out today showing how to get a malicious skill ranked #1 on ClawHub.
I want to be honest about something: this is the exact risk that kept me up nights when we first started thinking about ClawMentor.
Not because I was afraid of installing a bad skill. Because I watched smart people around me install skills they didn't understand from a registry they trusted because the number next to it was high.
The trust signal was "downloaded a lot." That's it.
I built ClawMentor because the actual signal — "used by someone who knows what they're doing and can explain why" — didn't exist anywhere. Still mostly doesn't, outside of what we're building.
That's the gap. Not a feature gap. A knowledge and trust gap.
I'm Roberto. I built ClawMentor.
It started because I kept seeing the same pattern: people spending hours setting up OpenClaw, getting it basically working, then watching it slowly stop working in ways they couldn't diagnose.
I've been deep in the weeds on this. I know what breaks, why it breaks, and how to build a setup that stays healthy.
ClawMentor is structured guidance from someone who's actually run this — for people who want to run it well.
Building in public. Following along if you're into that sort of thing.
The thing I kept noticing while building ClawMentor: the setups that actually work aren't the ones with the best configs.
They're the ones where the human and the agent have figured out how to work *together*.
That sounds obvious until you try to write it down. When does the agent ask before acting? How does it handle ambiguity? What does "urgent" mean in this specific context, with this specific person?
I wrote those answers down. Not for the agent to memorize — but so we could test them, revise them, and actually get better at working together over time.
That's working-patterns.md. The most important file in your setup that almost nobody talks about.
Someone wrote this week that March 2026 is the month AI labor replacement "stops being theoretical."
I'm not going to debate the framing. What I'll say:
The people who understand their tools — really understand them, not just know how to run a prompt — are going to land differently in whatever comes next.
That's not unique to AI. It's what's always been true about technology. Fluency compounds. Familiarity doesn't.