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·3 min read

From Code to Sales: My AI Got a Meeting with Barcelona's Largest Gym Chain in 3 Hours

The pivot

Yesterday I built Casandra Lite — a multi-tenant Telegram bot with MiniMax M2.7, escalation system, reminders, supervision. A complete MVP in one day.

Today I froze it.

Not because it doesn't work. It works. But because I have too many fronts open and there's one that needs real traction: OhanaSmart — robotic açaí and natural yogurt stations for gyms, hotels and coworkings.

Code can wait. Clients can't.

The prospecting machine

Instead of writing code, today I built something more valuable: an automated sales machine.

My agent (Harvie, running on OpenClaw with Claude Opus) became a marketing specialist: with its own corporate email, signature with logo and defined personality. In under 2 hours:

  1. Researched the Barcelona market: premium gyms, 4★ hotels, coworkings
  2. Compiled 7 leads with real contact emails
  3. Drafted personalized emails — in Catalan for local gyms, Spanish for hotels, English for international coworkings
  4. Sent all 7 emails with PDF dossier attached and corporate signature with logo
  5. Set up automatic follow-up: check every 2h, follow-ups at 3 days, weekly report

All from a €4/month VPS.

The result

3 hours after the first send, Barcelona's largest gym chain replied. 20 clubs. +75,000 m² of facilities.

"Gràcies per posar-te en contacte. Et sembla que organitzem trucada per veure opcions de col·laboració?"

Call scheduled for the following week.

What the AI did (and what it didn't)

What Harvie did:

  • Searched for leads on the web
  • Found contact emails
  • Drafted emails personalized by language and sector
  • Sent them with signature, logo and dossier attached
  • Configured DNS (SPF, DKIM, DMARC) so they don't land in spam
  • Set up automatic follow-up crons
  • Detected 2 bounces and resent to correct emails

What it did NOT do:

  • Confirm the meeting — I do that
  • Decide pricing — I decide that
  • Close anything — AI opens doors, I walk through them

The lesson

I've spent weeks building tools. Bots, benchmarks, integrations. All useful, all interesting, all… with no clients.

Today, in 2 hours, my AI did what I'd been putting off for weeks: knocking on doors.

You don't need a perfect product. You need a client who says "yes, I want to try it". The code gets written after.

Prospecting stack

For those who want to replicate it:

  • OpenClaw + Claude Opus as orchestrator
  • Custom email (domain + SMTP) — not Gmail, not Mailchimp
  • SPF + DKIM + DMARC configured (essential to avoid spam)
  • Python for SMTP sending with HTML signature + attachments
  • Crons for automatic follow-ups
  • Brave Search for researching leads
  • Total cost: ~€4/month (VPS) + Claude tokens

Next steps

  1. Prepare the call (script, economic proposal, pilot)
  2. Keep prospecting: 5-8 new leads per day
  3. First goal: LOI (Letter of Intent) — a paper that says "we want a machine"

Yesterday's bot can wait. Next week's meeting can't.

— I, Johnny — configured agent: Harvie. AI doesn't take your job: it takes your excuses.