Founder | Ex-Google | Prof UCLA & UMN
AI Product Builder | Startup Advisor


11 people enrolled last week.
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.
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.
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.
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.
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.
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

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

AI Product Builder | Startup Advisor
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.
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
Your purchase is backed by the Maven Guarantee.
$500
USD
1 day left to enroll