​Eric builds semi-trucks that people actually want to buy.

Thousands of people ask “how do I get one?” on YouTube, social media, at trade shows.

The problem? There’s nowhere for them to say “I want to buy this truck.”

No form. No database. No way to capture interest.

This is a hundreds-of-millions-dollar problem.

And here’s what’s wild: AI agents can’t fix it.

Everyone’s talking about AI agents doing complex tasks—writing code, analyzing markets, generating reports. But they can’t fix Eric’s actual problem because the infrastructure isn’t there for them to work with.

You can’t have an AI agent follow up with leads if you’re not capturing leads. You can’t have agents segment buyers if there’s no database. You can’t automate outreach if there’s no system logging who to reach out to.

The boring stuff has to exist first.

Here’s what we’re building for Eric:

1. Forms on the website (capture pre-order interest, specs, contact info)
2. Connected to ERP and CRM (one source of truth)
3. AI agents handling the follow-up (personalized emails based on truck specs they want)
4. Automated segmentation (different message for fleet buyers vs individual owners)
5. Regular updates from agents (build relationship during 12-month production timeline)

The forms and database? A few thousand dollars. The AI agents working 24/7 to keep hundreds of leads warm? That’s where it gets interesting.

This is the pattern nobody talks about:

Companies want AI agents to solve problems. But agents need infrastructure to work with.

They need: - Forms capturing data systematically - Databases tracking everything - Logging showing who did what when - Processes defined clearly enough for automation

Manufacturing companies want agents to manage inventory—but first you need inventory tracking that works.

Executive search firms want agents doing outreach at scale—but first you need a database of prospects and a system for follow-up.

Service businesses want agents qualifying leads—but first you need leads flowing into a system.

Agents multiply boring infrastructure.

If your infrastructure is broken, agents multiply the brokenness. If your infrastructure works, agents multiply the value.

Here’s your audit:

What broken process are you hoping AI will magically fix?

Now ask: Is the boring infrastructure in place for AI to actually work with?

• Forms capturing data?
• Database tracking it?
• System logging actions?
• Process defined clearly?

If no—build that first. Then add agents.

If yes—you’re ready. Agents will 10x what you’ve built.

Reply and tell me: What’s the boring infrastructure you need before agents can help?

—Simon