AI workflows developed inside an operating e-commerce business.
Built By Agents began inside Luxo Living, where voice, email, monitoring and reporting workflows were built against real operating demands. This is first-party evidence of the method—not a promise that another organisation will achieve the same result.
Cross-functional AI operating system
Otto is the internal AI operating system developed inside an 8-figure Australian e-commerce business. The work spans executive email, calls, competitor monitoring, daily operating briefs and repeatable business processes. Winston Tu reports that the combined system saves him more than 25 hours per week.
25+
founder-reported hours saved per week
Cross-functional
voice, email, reporting and monitoring
First-party
operating example, not a client benchmark
Why the proof matters
The system was shaped by real queues, exceptions, integrations and management decisions. E-commerce is the first-party proving ground; the transferable capability is identifying a valuable workflow, setting boundaries, integrating it and measuring the operational change.
“I built Otto to handle the work that was consuming my time across email, calls, competitor tracking and daily reporting. It gives me 25+ hours a week back to focus on the business.”
Winston Tu, CEO of Luxo Living and founder of Built By Agents
Evidence boundary
The 25+ hour figure is founder-reported and covers the combined internal system. It has not been presented as an independently audited result, a client outcome or a guarantee. Results depend on the workflow baseline, volume, data, integrations, controls and organisational adoption.
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