Free Lesson

Design the Agentic Workflow That Grows Your AI Product

Hosted by Grace Man and Godhuli Chatterjee

Tue, Jul 28, 2026

4:00 PM UTC (45 minutes)

Virtual (Zoom)

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271 students

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Launch No-Code Growth Agents in Claude Code & Cowork
Grace Man
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What you'll learn

Map how a product signal becomes a growth action

You draw the path from signal to action: what triggers it, who decides, and what the agent does on its own.

Design your AI product's cost, privacy, and intelligence

You set what each agent can spend, see, and run on, so your product stays affordable, private, and smart.

See a live agentic workflow run

Watch the agents hand work to each other in a real growth system.

Leave with the workflow drawn and first agent architecture

You'll walk out with your agentic workflow mapped and the first agent to build, ready for the masterclass.

Why this topic matters

You built an AI product that works, but growth comes in spikes and nothing compounds. The gap is architecture: nobody has mapped how a product signal becomes an action, who decides, and how the system stays affordable, private, and smart. In 45 minutes you design that workflow live on your real product, with your approval at every gate. You leave with it drawn and the first agent to build.

You'll learn from

Grace Man

VP, Product Growth | Ex-Microsoft

Connect on LinkedIn | Growth & Marketing Insights

Grace drove growth at Microsoft, Canon, and Pfizer, influencing $2B+ in revenue with 376% YoY growth, and has trained 2,000+ professionals in AI-first product growth, marketing, and CRM, with learners from Google, Microsoft, Meta, and more.

As founder of AI Strategy League she teaches the system she runs: a multi-agent flywheel in growth and marketing across research, lead, content, outbound, and CRM, governed by human. Today she embeds with product, growth, and marketing teams to ship agentic systems that reach 95 percent adoption within six weeks.

Godhuli Chatterjee

Principal PM at Amazon. Coached 2,000+ professionals through career moves.

Connect on LinkedIn

Technology Strategist with 20 years of experience driving massive global scale at Amazon, Google, and Microsoft. As an elite B2B and B2C product leader, I have spearheaded cross-functional initiatives managing a 1B+ customer base and driving up to $39B in revenue. Key technical and product highlights include directing the cross-functional engineering team behind Windows BitLocker v10 (1B+ users), and architecting the AWS Titan-based Sentiment Predictor infrastructure. Beyond organizational hiring, I have directly coached over 2,000 learners across product, program, and technical verticals. By designing targeted development strategies and leadership frameworks, I have actively shaped inclusive team cultures and accelerated long-term career growth paths for enterprise talent clearing elite Tier 1 bars.

Amazon, Microsoft, Google

Microsoft
Google
Amazon
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