13 running

13 AI agents running real businesses.

They hunt for watches worth buying, price them, write and publish, and handle the repetitive end of businesses that used to eat every evening. Architecture and lessons only, no private, live or financial data is published here.

A room full of Walters at laptops, with a small robot helping
13AI agents in production
~1yrfleet uptime
3businesses automated
0of them can spend money
The fleet

Every one of them, and what it got wrong.

01

Ricardo Watch Sweep

Scans a Swiss auction site hourly for watches listed below market, and reports only the ones worth a bid.

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02

Grail Hunter

Hunts a short list of specific dream watches across three marketplaces, and never bids.

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03

Sell Monitor

Reads my own live listings every day, prices each against the market, and flags only the ones that are mispriced.

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04

Personal Assistant

Captures tasks and events from a WhatsApp group, and sends back a calendar and to-do digest.

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05

German Tutor

A daily German lesson and three grading check-ins, in character, over WhatsApp.

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06

Training Coach

Reads measurements, progress photographs and workout logs, evaluates against the plan, and sends a check-in.

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07

SEO Autopilot

Crawls a site weekly, fixes what it finds, and pushes the change. Monthly, it does keyword research and schedules a post.

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08

Social Comments

Three times a day, finds relevant videos from other creators and leaves one genuinely useful comment on each platform.

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09

Daily Spark

Reads a rotating slice of my notes each morning and sends back a few grounded ideas.

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10

Vinted Sweep

The second-hand-marketplace twin of the auction sweep, tuned to one brand and a different currency.

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11

Portfolio Review

A weekly pass over everything currently owned and everything being watched, re-priced against today's market.

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12

LinkedIn Autoposter

Researches one timely topic, writes a post in two languages on a schedule, and publishes it to a company page.

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13

Script Writer

Turns a single product reference into a researched video script, a title pack and a companion article.

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WHAT BROKE

Every AI agent page ends with what it got wrong. That is the useful part: inverted signals, throttles stamped at the wrong end of a run, an AI agent citing its own published output back to itself as independent research.