AI Product Sense: How to Design, Ship & Scale LLM Products That Users Trust

Aki Wijesundara, PhD

PhD in ML | Google AI Accelerator Alum

Manu Jayawardana

Exited AI Founder | CEO at Krybe

Design and ship LLM products users actually trust, in one 3 hour workshop.

You can prompt a demo in an afternoon. Getting users to trust it is the hard part. Hallucinations, silent failures, and a model that feels confident when it is wrong, these are product problems, not just model problems, and most PMs have never been taught how to design around them.

In this 3 hour live workshop you'll build the product sense to design, ship, and scale LLM features people rely on.

Map failure modes for an LLM feature before a single line of code ships
Design trust signals, confidence cues, fallbacks, human handoff, into the UX
Set the right evals and guardrails so quality doesn't regress as you scale
Run a structured launch checklist used by teams shipping AI features today

Taught by a practitioner who ships agentic products for real clients every week, not a curriculum only trainer. 5,000+ students trained, with alumni from Google, Meta, and McKinsey.

Great AI products aren't the smartest ones. They're the ones users trust enough to keep using.

What you’ll learn

Learn to design, ship, and scale LLM products users trust, turning you into the AI product mind teams actually rely on.

Run a failure mode audit on a real LLM feature, covering hallucination, latency, and silent errors
Use a risk matrix to decide where a human stays in the loop and where automation is safe

Apply confidence cues, citations, and fallback states to an AI feature mockup
Critique three live AI products against a trust heuristics checklist

Write a starter eval set for one LLM feature, covering accuracy, tone, and safety
Decide which metrics gate a release and which just get monitored

Walk through a staged rollout plan, from internal dog food to general availability
Leave with a reusable AI product launch checklist for your own roadmap

Learn directly from Aki & Manu

Aki Wijesundara, PhD

AI Founder | Educator | Google AI Accelerator Alum

Manu Jayawardana

AI Advisor | Co-Founder & CEO at Krybe | Co-Founder of Snapdrum

Previous Students from

See all products from TAI

Who this course is for

The PM shipping AI features. Owns an LLM powered feature or roadmap item. Needs a repeatable way to ship it without users losing trust.
The Founder or Builder. Has an AI product live or in progress. Wants a sharper sense of where it will break before users find out.
The Career Changer. Moving into AI product roles. Needs to speak fluently about evals, trust, and risk in an interview or on the job.

Prerequisites

Basic familiarity with an AI product
Comfortable using or scoping a feature powered by an LLM, no engineering background needed.
One real or hypothetical feature to work on
Bring a feature idea or live product, you'll apply every framework to it live.

What's included

Live sessions

Learn directly from Aki Wijesundara, PhD & Manu Jayawardana in a real-time, interactive format.

Live 3 hour class

A hands on live session with Aki, recorded so you can rewatch anytime.

Resource library

Masterclasses, articles and interviews to go deeper after the session.

Take home assignment

Build your own automation and get it reviewed.

Certificate of completion

A shareable certificate from The AI Internship.

Community access

Join a community of operators building with AI.

Maven Guarantee

Your purchase is backed by the Maven Guarantee.

Course syllabus

Week 1

Jul 12

Mapping trust risk before you build

3 items

Designing UX that earns trust

4 items

Evals that catch regressions early

3 items

Shipping and scaling without losing trust

3 items

Wrap up, Q&A, and applying it to your roadmap

0 items

Jul

Build Your AI Back-Office: Live Class

Sun 7/128:00 PM—11:00 PM (UTC)

Week 2

Jul 13

Nothing scheduled for this week

Schedule

Live sessions

3 hrs

One hands on, 3 hour live session with Aki where you build a working automation stack you can ship the same day.

Sun, Jul 12
8:00 PM—11:00 PM (UTC)

Testimonials

The AI training approach is outstanding. Our team learned to build practical AI solutions that we could implement immediately in our educational platform. The hands-on methodology made complex AI concepts accessible to our entire development team.
Kavi T.
CEO of Tilli Kids / Stanford PhD
I sent my team through this training for upskilling, and the results have been remarkable. Within weeks, they became much more efficient at building automations and deploying AI agents at work. This program bridges the gap between theory and practice and it’s had a real impact on our productivity.
Aamir Faaiz
CEO of Bayseian
Not only are the instructors experts in their field, they are incredibly skilled at breaking down complicated AI concepts so students can grasp them quickly. Anyone interested in building foundational AI knowledge should take this training, it is worth the investment.
Dr. Elizabeth Creighton
Founder & Principal at Brazen
The instructors help break down AI model development and clearly have plenty of experience to help others learn about complex concepts like infrastructure setup. The practical approach to NLP and LLM applications was exactly what our team needed.
Alissa Valentine
NLP & LLM Real World Data Scientist