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Presentation: A product leader, not an engineer, built a live margin system for a Direct-to-Consumer brand that lacked visibility into the true per-order profit after discounts, shipping, third-party logistics, and ad spend. This talk walks through the build end-to-end: defining the problem in Claude Cowork with the stakeholder, developing in Claude Code through a GitHub repo that auto-deploys to a VPS, front-end in Claude Design, and n8n running the data pipeline in production. The honest throughline: how far one product person can carry a real system, and where the limits are.

Bio: Craig Calder brings 20 years of senior product management leadership, from startups to eBay and New Relic. He now runs an AI implementation practice for product leadership and works hands-on with the production AI stack: LLMs, agentic systems, and knowledge graphs.

Schedule:

  • 5:00 - 5:30: Snacks and networking
  • 5:30 - 6:30: Demos start
  • 6:30 - 7:00: Wrap up and networking

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Related topics

Artificial Intelligence
Software Development

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PIE Portland Incubator Experiment

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OReilly

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Altered Craft

Altered Craft

Guiding software engineers through the disruption of AI on their craft

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