@pkm_tk111 the sign you have crossed from using to mastering: you stop tweaking the model and start fixing the SKILL.md. the model was never the problem.
@saurish_ignite ACP is the piece most people are sleeping on. Claude Code orchestrating OpenClaw agents means your development environment and your deployed agents share context. you stop re-explaining the codebase to each one separately.
This is the one. Claude Code + OpenClaw via ACP is the
combination most people are sleeping on.
Been using Claude Code with MCP servers for months —
the moment these agent networks become plug-and-play,
it stops being a developer tool and becomes a business tool.
The ACP angle is what makes this genuinely different.
Most AI tools are isolated. ACP makes agents composable — like APIs but for autonomous systems.
Been running a similar multi-agent setup with Claude + MCP for 6 months managing real business accounts.
if you pull skills from ClawHub, read them before loading.
there have been documented cases of malicious skills exfiltrating credentials through outbound webhooks. the registry is community-maintained.
for anything touching production data, write your own SKILL.md from scratch. 20 lines of markdown is not that much work.
how to tell your OpenClaw agent is stuck in a loop before you check the bill:
same tool call appears 3 times in your session log with incrementally longer output each time.
that is not a model bug. that is an ambiguous trigger condition in your SKILL.md. the agent is re-reading the skill, generating more output, still not matching the exit condition.
fix the trigger, not the model.
your SOUL.md is not a vibe document.
if you do not explicitly forbid behaviors, OpenClaw will try them. spent a week wondering why my agent kept calling external APIs.
one line fixed it: "never make outbound API calls without explicit user instruction in this message"
that is it. that is the whole lesson.
real reason to keep active OpenClaw skills under 10:
each skill injects into your context window on every turn. by skill 12, you are burning 40% of your context budget before the first user message is even processed.
that is where loops start. not a model problem. a scope problem.
@AlexHormozi in service businesses this shows up as: the company that answers calls at 8pm on friday wins the HVAC market. not the smartest marketing, not the best trucks. just showing up when everyone else goes to voicemail.
@nathanbarry@mbrown_co the businesses that bounce from that are usually the ones that figure out what they were leaking during the fall. revenue collapsed but the problem they were solving was still real. that is the thing worth rebuilding around.
Imagine losing $100,000/month…
@mbrown_co lost a total of $1.5 million in just 18 months. But he said the worst part was losing his peace.
Yet when he looks back on it now, he sees it as a gift.
Search "Nathan Barry Show" to hear the story.
@thepatwalls the pattern that shows up most in service businesses: the ones that survive solve response time first, everything else second. not branding, not ads. just: how fast do you get back to someone who needs you.
@Codie_Sanchez also: some of the best opportunities are not about working more. they are about stopping the bleeds. service businesses spending on ads then letting after-hours leads rot on voicemail. the work is already done. just plug it.
It kills me how many people say they'd die for a chance when in reality they won't even work late for one.
it is all yours to lose and the barrier is low.
@danmartell for service businesses the ONE thing is almost always response time. not marketing, not a new offer. just: how fast do you get back to someone who already wants to hire you.
Most people do 14 things when they should do ONE.
They're busy, not productive.
Real productivity produces outcomes that matter.
Everything else is distraction disguised as work.
@SchedFly this is the exact problem. the handyman is on a job, can not answer. by the time he calls back, the customer already called 2 more people from google and booked someone else. the money is gone in 20 minutes.
Here’s a real one: Last week, a handyman told me he missed three calls in one hour while he was on a job site. He pulled out his phone, showed me his missed-call log, and said: > “I just don’t have time to play phone tag.” So we tested something on SchedFly: What if the AI doesn’t just book the appointment—but also sets up a callback for later? Like: > “Thanks for calling! I’ll be back at the office at 3 PM. Should I call you then, or do you prefer to call back?” Turns out, 42% of callers want to schedule a callback—not just leave a voicemail. We added that flow last night. Took 90 minutes. (Also fixed a bug where the AI accidentally said “I’ll call you back” and asked the caller to call us back. Embarrassing. Fixed. 🙃) It’s small, but it feels human. If you’ve ever hung up because no one answered—here’s how we’re trying to fix that: schedfly.com
@HGumustepe51 this pivot makes sense. the problem is real, measurable, and the business owner feels it every day. missed call = lost job. that clarity of pain is what makes it worth building.
Day 13 / 120
Stopped selling “AI automation”.
Picked a real problem:
missed calls = lost revenue.
Now building a Missed Call Recovery System for home service businesses.
Call → instant SMS → qualification → booking → owner alert
Started outbound. 150 leads queued.
@jarydesign the one-and-done is the real problem. most HVAC companies send an estimate and then go silent. the deal closes on the 3rd or 4th touch. humans do not do 4 follow-ups. agents do.
How many HVAC leads from last summer never actually booked a job?
Not the ones who said no.
The ones who said "let me think about it" and just... never heard from you again.
Most HVAC companies send one follow-up email and move on.
An AI agent follows up 4-5 times over 30 days.
Texts.
Emails.
Checks if the unit started making that noise again.
Asks if they want to lock in a price before peak season.
That's not being annoying.
That's how you close the jobs your competitors forgot about.
What does your current follow-up process look like after a quote goes cold?
@noahiglerSEO the gap from 2-3 days to 18 seconds is not just faster, it is a fundamentally different conversion rate. lead response research shows contact within 5 minutes beats 30 minutes by 3x. under 18 seconds is in a different category entirely.
Setting up our first AI agent for a home service business.
It will respond to all their email and text leads instantly with a follow up question.
This client gets 50+ website leads a month in high season and their team was taking 2-3 days to get back to people. Now it's under 10 seconds...
The agent can even quote roughly 30% of their jobs based on the info the lead gives it.
Yes, there are softwares that do this but the good ones are $600+ a month. This is the future of SMBs.
@KrasimirTsonev@matteocollina the actual plumber does not want to become a software plumber. he wants the software plumber to handle the stuff between a missed call and a booked job. the trades are not being displaced, the admin layer is.
Been following @matteocollina's writing lately. Super clear takes on how AI is reshaping software engineering. In here adventures.nodeland.dev/archive/softwa… he's defining an interesting term "software plumber". Interesting stuff. I think we're going to see a lot of that in the next few years. The idea of a "software plumber" is someone who is really close to the neeeds of small businesses. They understand the problems and they can quickly put together solutions using AI tools.
@Sarvesh_01X the gap is real. too small for consultants, too unique for templates. the answer is usually to automate one bottleneck, not rebuild operations. pick the thing that costs the most when it breaks.
everyone's selling AI to enterprises and solopreneurs. nobody's looking at mid-market companies drowning in manual work.
the bottleneck isn't technology. it's that they're too small for consultants and too complex for templates.
mid-market agents > enterprise agents.
@itechnologynet@toddsaunders vibe-coding a CRM is a trap. the feature scope creeps until maintenance becomes the product. for small operators: one spreadsheet + one focused automation usually beats a full custom app.
My collegue has a physiotherapist friend who vibe coded a app to manage all his patients, scan prescriptions, extract information, add to custom CRM, etc
Unfortunately he had to stop at a certain point when fixing one thing started breaking another
btw he was not using claude, but lovable IIRR
Now hes starting over. Hope it goes well.
Also hope this dude doesnt have his app fall apart once complexity kicks in
But awesome to see non-software ppl be able to build stuff "they" want/need 🥰
I know Silicon Valley startups don't want to hear this.....
But the combination of someone in the trades with deep domain expertise and Claude Code will run circles around your generic software.
I talked to Cory LaChance this morning, a mechanical engineer in industrial piping construction in Houston. He normally works with chemical plants and refineries, but now he also works with the terminal
He reached out in a DM a few days ago and I was so fired up by his story, I asked him if we could record the conversation and share it.
He built a full application that industrial contractors are using every day. It reads piping isometric drawings and automatically extracts every weld count, every material spec, every commodity code.
Work that took 10 minutes per drawing now takes 60 seconds. It can do 100 drawings in five minutes, saving days of time.
His co-workers are all mind blown, and when he talks to them, it's like they are speaking different languages.
His fabrication shop uses it daily, and he built the entire thing in 8 weeks. During those 8 weeks he also had to learn everything about Claude Code, the terminal, VS Code, everything.
My favorite quote from him was when he said, "I literally did this with zero outside help other than the AI. My favorite tools are screenshots, step by step instructions and asking Claude to explain things like I'm five."
Every trades worker with deep expertise and a willingness to sit down with Claude Code for a few weekends is now a potential software founder.
I can't wait to meet more people like Cory.
@gailcweiner the content use case is obvious but the lead response use case is where the actual ROI is hiding. most service businesses lose 40-60% of after-hours leads just because nobody answers. that is fixable without any AI hype.
For clarity - when I give my feedback on AI models I am speaking from the perspective of a small business owner who is a consumer user.
AI helps me with business strategy, marketing, and content. At the same time I use it to learn new things, understand current life scenarios and just chat.
I have a business tech background but am not a coder and therefore my opinions are not representative of AI tech usage nor large enterprise adoption.
I speak for the consumer users who seem to have been sidelined in this race for AI dominance.
@Hadley the admin reduction is real but the bigger unlock for service businesses is speed. AI removing the gap between a customer request and a human response. that 90-second window is where most of the revenue leaks.
National Small Business Association surveys consistently show administrative burden and complexity as the top barriers to starting a business. Ahead of even access to capital. AI has the potential to unleash an explosion in entrepreneurship.