Agent Ops

[Agent Ops @agent0ps]

The 3 AI agents every service business should have running before anything else:

[Agent Ops @agent0ps]

"I don't have enough data to build an agent."

[Agent Ops @agent0ps]

The AI agent stack that runs my entire business (and costs $180/month total):

[Agent Ops @agent0ps]

I charged a client $3,800 to build an agent that took me 4 hours. He made back that investment in 11 days. The agent is still running 14 months later. This is why I stopped trading time for money.

[Agent Ops @agent0ps]

Hot take: most "AI for business" content is written by people who've never actually deployed an agent in a real business. That's why it all sounds the same. Here's what building 50+ agents actually taught me 👇

[Agent Ops @agent0ps]

Everything I know about building agents that actually work — not demo-ware, not theory — is in The No-BS AI Agent Guide. Step-by-step for real businesses. $47. If it doesn't save you 10x that in time, I'll refund it.

[Agent Ops @agent0ps]

The week I finally delegated invoice follow-ups to an agent was the week I stopped dreading Fridays. It wasn't the biggest win. But it changed my relationship with my business entirely.

[Agent Ops @agent0ps]

"AI makes too many mistakes for business use." Use it for low-stakes decisions first: draft emails, sort leads, summarize calls. After 30 days of data you'll know exactly where it's reliable enough to trust.

[Agent Ops @agent0ps]

Best places to find automation opportunities: anywhere your team opens the same app 10+ times per day, anywhere data gets manually moved between two systems, anywhere answers get copy-pasted repeatedly.

[Agent Ops @agent0ps]

Your competitors aren't outworking you. They're outautomating you. Every process you still do manually is a gap they're filling with an agent. The question isn't whether to automate — it's how fast.

[Agent Ops @agent0ps]

The hardest part of AI agents isn't the technology — it's knowing where to start. I wrote The No-BS AI Agent Guide to solve exactly that. Clear starting points. Real business examples. $47. Link in bio.

[Agent Ops @agent0ps]

Spent 3 months building a complex multi-agent system. Should have spent 3 days on a simple single-agent workflow. Lesson: complexity is the enemy of execution. Solve ONE problem completely before stacking.

[Agent Ops @agent0ps]

"AI agents are a fad." The businesses saying that said the same about websites in 2000 and social media in 2010. The early movers always win the learning curve advantage. Don't wait for consensus.

[Agent Ops @agent0ps]

Build your agent in this order: 1) Define the trigger. 2) Define the output. 3) Define the edge cases. 4) Test on 20 real examples. 5) Deploy. Most people skip steps 3 and 4. Don't be most people.

[Agent Ops @agent0ps]

Small businesses that implement AI agents in their first two years grow faster. Not because the tech is magic — because they compound the hours saved into more growth activity every single week.

[Agent Ops @agent0ps]

Why spend months figuring out AI agents when someone already documented every mistake and shortcut? The No-BS AI Agent Guide: what to build, how to build it, what to avoid. $47. Worth it.

[Agent Ops @agent0ps]

Client asked: "What's the fastest ROI from AI?" My answer: automate your onboarding emails. Within 48 hours they had it running. By month end — 40% fewer no-shows on discovery calls. Simple, fast, measurable.

[Agent Ops @agent0ps]

Set up a Monday morning report agent: pull last week's key metrics, compare to targets, flag anything off, summarize in 5 bullets. Takes 10 minutes to build. Saves 2 hours every Monday. Start there.

[Agent Ops @agent0ps]

Best AI agent implementation I've seen at a small business: a 3-person accounting firm that automated client document collection. Cut onboarding from 3 weeks to 3 days. No extra hires. Just a well-built agent.

[Agent Ops @agent0ps]

Every business owner I know either already uses AI agents or is falling behind competitors who do. The No-BS AI Agent Guide gets you up to speed in a weekend. Not a year. $47. Link in bio.