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A Hands-On (OpenClaw) Workshop to Build Revenue-Generating AI Agents

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What to expect

Meta description (first 160 chars): A five-hour, hands-on workshop from Manus Academy on building revenue-generating AI agent systems using OpenClaw, designed for founders, operators, and builders who want real workflow automation rather than just prompts.

A Hands-On, OpenClaw Workshop to Build Revenue-Generating AI Agents

Mar 22, 2026 | 5:00 PM (local time)

Register Now: https://academy.manus.im/events/019cd053-1b7b-702a-b069-139c7676fb87

Description

Manus Academy invites founders, operators, and makers to a dense, hands-on session focused on designing, building, and deploying AI agent systems that actually run real business processes. This is not a lecture on prompts; it’s a guided, small-group workshop where you audit your own workflows, identify routine, time-sinking tasks, and convert them into autonomous agents that monitor operations, surface issues, and act with minimal human input.

What makes this workshop unique is its emphasis on practical deployment: participants will work with real data sources, connect their workflows, and leave with a working multi-agent system rather than a demo. The session is led by Jason Zhang, a YC-backed founder with a track record of shipping AI-powered products, and is designed to deliver immediate, measurable business impact.

What you’ll build

  • Operations that run without you checking in: agents pull key data, flag anomalies, and explain variances before month-end.
  • Process audits that reveal leaks: map workflows, identify bottlenecks, and automate low-judgment tasks.
  • Decision support, not just dashboards: an agent that synthesizes sales data, customer feedback, and market signals into actionable recommendations.
  • Scalable internal knowledge: a knowledge layer your team can query instead of pinging experts.
  • Proactive opportunities and risk surfacing: agents monitor competitors, customer conversations, and industry shifts so you stay ahead.

Agenda (illustrative)

  • 10:00–10:30 — Why Agents, Not Prompts: end-state demo and the job AI should perform
  • 10:30–11:15 — Audit Your Operations: map workflows, identify stalls, and quantify impact
  • 11:15–12:15 — Build Your First (OpenClaw) Agent: hands-on with a real workflow
  • 12:15–1:00 — Lunch + Open Build Time: optional questions and tinkering (complimentary lunch)
  • 1:00–2:00 — Multi-Agent Systems: layering multiple agents with monitoring
  • 2:00–2:45 — Deploy and Stress-Test: run with real data, refine, leave with a working system
  • 2:45–3:00 — What to Do

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