Claude Code: Ship Your First Production AI Agent in 4 Hours

Hamza Farooq

Founder | Ex-Google | Prof UCLA & UMN

Aishwarya Ashok

AI Product Builder | Startup Advisor

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11 people enrolled last week.

Your team is drowning in AI Pilots that never ship

Every enterprise has a graveyard of AI experiments.
The ChatGPT wrapper that got demoed once. The automation that worked in the proof of concept and broke in week two. The vendor who swore it was production-ready until it wasn’t.

The problem isn’t the technology. It’s that nobody taught your team how to design, evaluate, and deploy an AI agent — and most people don’t know what they don’t know until something breaks in front of a customer.

Most workshops give you a framework. Most vendors give you a demo. Neither gives you the thing you actually need: a system that works reliably, that you can hand to your team, and that you can hold accountable when it doesn’t.

What’s missing isn’t more tools. It’s the production mindset.

In this 4-hour workshop, you’ll design your first production AI agent from scratch — pick the right use case, map the workflow, write your ground truth, and build a 30-day rollout plan. No coding required. You’ll leave with a complete agent blueprint your team can act on Monday morning.

This isn’t a lecture. It’s a build session.

Bring your laptop, your messiest workflow problem, and one real use case from your team.

Workshop agenda

  • 12:00PM EDT

    The Pilot Graveyard: Why Enterprise AI Fails Before It Ships

    80% of enterprise AI projects fail to reach production—mainly due to wrong use cases, no evaluation, and no adoption plan. Learn a live scoring framework to pick and justify one high-impact use case.


  • 1:00PM EDT

    Design Your Agent: From Workflow to Blueprint

    Break down a production AI agent—inputs, tools, memory, outputs—no code. Learn when to use multi-agent pipelines, see a live demo, and map your own workflow on a paper like an org chart.


  • 2:00PM EDT

    Evals: How to Know If It’s Actually Working

    This hour covers what others skip: build a 10-row ground truth table to evaluate your agent objectively. Learn the 8/10 threshold, when to cut a use case, and how to hold vendors accountable.


  • 3:00PM EDT

    Roll It Out: Getting Your Team to Actually Use It

    Deployment isn’t technical—it’s organizational. Build a 30-day rollout plan: ownership, pilot users, early risks, and week-one metrics. Learn the 3 things that kill adoption and how to avoid them.

What you’ll learn

Master AI strategy, agents, and execution, transform from passive observer to confident leader driving high impact AI decisions in your org.

  • Diagnose why most AI pilots fail before production

  • Apply a live scoring framework (value, feasibility, risk)

  • Select one high-impact use case from your own team

  • Break down workflows into inputs, tools, memory, and outputs

  • Understand when to use single vs. multi-agent systems

  • Map your own agent workflow without writing code

  • Shift from experimentation mindset to production mindset

  • Structure AI agents like organizational workflows, not features

  • Design solutions your team can own and operate

  • Build a ground truth dataset for your use case

  • Apply the 8/10 threshold to decide readiness or rejection

  • Create evaluation criteria to hold systems and vendors accountable

  • Build a 30-day rollout plan with clear ownership

  • Identify pilot users, early risks, and feedback loops

  • Define week-one success metrics tied to usage and outcomes

  • Avoid common adoption failures (no owner, no fallback, no feedback)

  • Communicate AI initiatives effectively to stakeholders

  • Present a complete, actionable agent blueprint your team can execute

Learn directly from Hamza & Aishwarya

Hamza Farooq

Hamza Farooq

Founder Traversaal.ai | Adjunct Professor | 15+ years | Google | Stanford | UCLA

Aishwarya Ashok

Aishwarya Ashok

AI Product Builder | Startup Advisor

See all products from Hamza

Who this workshop is for

  • Enterprise PMs and product leads who’ve been handed the AI mandate but don’t know where to start. You’ve seen demos. You need a process.

  • Non-technical operators and team leads who know AI can save their team 10 hours a week but can’t figure out which use case to start with.

  • Executives and directors who are tired of hearing “it’s almost ready”. You want to evaluate and know whether it’s actually production-grade.

What's included

Live sessions

Learn directly from Hamza Farooq & Aishwarya Ashok in a real-time, interactive format.

Live 4-hour build session

Work alongside Hamza and a cohort of enterprise peers. Real exercises, real feedback, real use cases — not slides.

Lifetime access to recordings

Go back to any part of the workshop whenever you onboard a new team member or start a new agent project.

Complete Agent Blueprint Template

The exact one-page format Traversaal uses to scope new agent projects. Covers use case scoring, workflow diagram, eval table, rollout plan, and success metrics. Ready to present to your leadership team.

Ground Truth Eval Rubric

A 10-row eval table template with scoring guide. Use it before you build, after you build, and every time you bring in a vendor. The only objective way to know if your agent is production-ready.

30-Day Rollout Playbook

A week-by-week checklist for taking an agent from internal dogfood to team-wide deployment. Includes the owner assignment matrix, feedback loop setup, and the 3 early warning signs that your rollout is stalling.

Vendor Accountability Checklist

Know exactly what to ask any AI vendor before signing. Based on what Traversaal has seen fail in production. Most enterprise buyers never ask these questions until it’s too late.

Community of peers

Connect with enterprise PMs, operators, and leads facing the same challenges. Share what’s working, compare evals, and get feedback on your blueprint before you pitch it internally.

Certificate of completion

Share your new skills with your employer or on LinkedIn.

Maven Guarantee

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Free resources

Frequently asked questions

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