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OpenClaw Content Series — Post 02: Why different bots for Teams, Discord, and WhatsApp

Why Different Bots for Teams, Discord, and WhatsApp — and What Goes Wrong When You Use Just One (OpenClaw Content Series — Post #2: Voice → System → Architecture) If you’re building an AI “assistant” that shows up in multiple places—Microsoft Teams for work, Discord for build threads, WhatsApp for fast mobile ops—it’s tempting to […]

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OpenClaw Field Notes — Issue 005 – Building the Cockpit While Flying the Plane

OpenClaw Field Notes — Issue 005 Shipping Real Work While the Infrastructure Is Still Breaking Date Range: Mar 9–15, 2026 Platforms: Discord · Teams · WhatsApp · Oracle EBS · WordPress · Square Thesis: AI is a tool. People stay accountable. Real customer outcomes still have to ship. Win 01 — Customer Music store connected

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How AI Helps Me Farm (While I Build Software in the Car)

Today I was driving to pick up farm equipment and realized: I’m building a production AI system from the car. Not email. Not texting. Actual system design. Real decisions. Real progress. By voice, hands-free, while watching the road. This isn’t “working on a laptop in traffic.” I’m talking to AI the same way I’d talk

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OpenClaw Field Notes — Issue 004 – Structure, Survival, and Building Things That Last

OpenClaw Field Notes — Issue 004 – Structure, Survival, and Building Things That Last Date Range: Mar 2–8, 2026 Platforms: Oracle EBS · Discord · WhatsApp · Teams · Linux · WordPress Thesis: The real value of AI-assisted operations isn’t speed — it’s the ability to hold more open fronts at once without dropping any

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OpenClaw Field Notes – Issue 003 — WordPress Payments, Oracle E-Business Suite Payroll, and Infrastructure Lessons from the Field

OPENCLAW FIELD NOTES — ISSUE 003 Date Range: Feb 24 – Mar 1 Platforms: Oracle E-Business Suite, WordPress, Square Payments, Microsoft 365, HAProxy, Linux Thesis: AI expands what small engineering teams can realistically build, analyze, and support. TL;DR This week we built a custom WordPress + Square payment integration, investigated a year-end accounting anomaly in

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When AI Says “No” (But Really Means “Not Configured Yet”)

A Microsoft Teams Copilot Case Study Enterprise AI systems rarely fail because the models aren’t smart enough. They fail because they’re sloppy about what they know, what they don’t know, and under what conditions they can act. This is a story about that gap. In a Microsoft Teams meeting chat, I asked a simple operational

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