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Trained Brains / Case studies

Trained Brains already running in production.

Real deployments, measured by the outcomes the client cares about. Client names are withheld and figures are shown as percentages and multiples.

A packed tribute concert crowd under stage lights
Case study 01 · Arts & entertainment · 2024–present

Legacy Music Estate

The estate of an iconic rock vocalist runs its website, merch store, newsletter and an annual tribute concert with a very small team. We rebuilt the platform, launched the estate’s first online store, and deployed a Trained Brain as its Marketing & Web Coordinator. It runs the brand, the site and the store, and it planned the tribute campaign that doubled attendance.

WordPressWooCommercePrintify PODMailPoetMicrosoft 365OpenClaw
+114%paid tribute attendance YoY
45×daily site traffic
0.19spage load, down from 20s
+33%revenue YoY
01 · Challenge

A legacy that could not reach fans.

Years of radio and social media promotion had never sold the tribute past half capacity. The website took up to 20 seconds to load, site email wasn’t getting through, and there was no online store for fans to buy from.

02 · Trained Brain

Marketing & Web Coordinator, on OpenClaw.

We traced the slowdown to the host (99% of load time was server-side, not the database), migrated without interrupting Microsoft 365 email, launched a print-on-demand store, and handed daily operations to a trained agent that plans campaigns, keeps the brand consistent, and runs the site, store, fulfillment, newsletter and inbox.

03 · Outcome

More reach, less manual work.

Tribute-month merchandise sales up ~25% and donations up 93% year over year, plus a fan art gallery of 217 works recovered from web archives and restored.

04 · Campaign

An AI-planned campaign that nearly sold out both nights.

Instead of another round of radio and social ads, AI built a combined digital and print campaign around where fans and tourists actually go, and gave us a map of which locations to cover first. It also turned up tactics nobody had tried, like asking tour-bus drivers to post the flyer on the bus and hand it to passengers.

Prior years · radio + social
<50%
AI campaign · two nights
~86%
tribute capacity sold
  • 12+local social and event listing sites
  • 24+record stores, flyered in priority order
  • Mapoutdoor events ranked by which to cover first
  • Touriststour-bus drivers at the city’s main market, plus genre record and merch shops that draw visitors
guardrailsThe agent handles orders, fulfillment exceptions, email and site updates on its own, and routes anything involving the artist’s name, likeness, music or licensing straight to the estate and its counsel.
Case study 02 · Fintech · Built in-house · 2026

E-Utopia: an agentic trade-execution engine

Our most complex build, and the system we run every day. Several AI agents and services work as one team: a signal engine finds trades, automated orders pass a series of risk gates before they reach the broker, and an AI board reviews performance and proposes changes that are logged with their reasons. It runs around the clock on a broker demo account while it proves itself.

Python / FastAPITradeLocker APITradingViewClaudeHermes agentCloudflare Tunnel
24/7runs unattended, with a watchdog
24strategies in its library
Gatedrisk checks before every automated order
Everydecision and change logged
guardrailsSpending and drawdown limits, a kill switch, session and daily-trade caps, and per-instrument controls. The agents can propose changes; the limits are enforced in code, and nothing bypasses them.
Try it live · read-only

Open the real dashboard and look around: signals, trades, risk controls and the AI board’s decisions. Sign in with demo / trainedbrains-demo. The demo account can see everything and change nothing.

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Runs on a broker demo account. Shown to demonstrate the engineering, not as investment advice or a performance claim.

More deployments are underway. We publish a case study once the results have been measured, not before.

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