Build No-Code Marketing Agents with Claude Code & Cowork

Free Lesson

Build No-Code Marketing Agents with Claude Code & Cowork

Hosted by Grace Man

Thu, Jun 4, 2026

4:00 PM UTC (45 minutes)

Virtual (Zoom)

Free to join

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Master No-Code Marketing Content Agents with Claude

Grace Man

View syllabus

Thu, Jun 4, 2026

4:00 PM UTC (45 minutes)

Virtual (Zoom)

Free to join

1,070 students

Invite your network

Go deeper with a course

Master No-Code Marketing Content Agents with Claude

Grace Man

View syllabus

What you'll learn

How Claude Cowork and Claude Code Work Together

This session demos both side by side on the same content workflow, so you can see when to use each.

Turn One Transcript into Five Content Assets

Watch a meeting transcript become a newsletter, LinkedIn posts, an article hook, and a summary in your brand voice.

What It Really Takes to Build an AI Content Agent

How to build a repeatable content workflow with context, files, and defined outputs that runs consistently.

Why Claude Code Is No-Code for Marketing Teams & How to Use

How marketing teams can automate real content workflows without coding.

Why this topic matters

Most marketers use AI to work faster. The best marketers build AI systems that work for them. The difference is not the tool, it’s the architecture. In this live session, you’ll use Claude Code and Claude Cowork to build a no-code content agent that turns transcripts into publish-ready content workflows. No setup, no coding, no developers required. Leave with a working agent you can run.

You'll learn from

Grace Man

AI Entrepreneur | Ex-Microsoft | Founder at AI Strategy League.

Grace has driven growth and marketing performance at Microsoft, Canon, Pfizer, and high growth startups, delivering 376%+ YoY revenue growth and $2B+ in revenue.

1,000+ leaders and operators trained and coached in AI. Her learners include leaders from Meta, Michelin, Siemens, SAP, London Business School, and more.

As founder of AI Strategy League, Grace embeds within teams to map workflows, remove friction, and translate ambiguity into agentic AI systems, enabling up to 95 percent AI adoption within 6 weeks.

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