Hugging Face

DataRobot

Contextual AI

Snowflake

Snorkel AI

Rajiv Shah

Agentic AI Engineer at OpenHands

Winter/Spring 2026

Summer 2026

What is reframing? Let me explain as I apply this to recent talks at AI Engineer Europe 2026. It's not about better models. It's about teams that innovate through reframing. Teams that hit a wall, realized their&nbsp;first approach was wrong, and changed their approach.&nbsp;&nbsp; Learn from Cursor, Cloudflare, Factory, and OpenAI

Reframing at AI Engineer Europe 2026

Most AI projects fail because the problem was set up wrong, not because the model was bad. The AI Framing Worksheet is a one-page tool with 8 questions across three sections: <ul><li>&nbsp;Problem — what are we actually solving?</li><li>&nbsp;Approach — what's the simplest thing that works?</li><li>&nbsp;Evidence — how will we know it worked?</li></ul> plus three bonus diagnostic tests: <ul><li>Oracle Test</li><li>Unit Test</li><li>Simplicity Test</li></ul> The quickest way to surface issues and get your AI shipped to production.

AI Framing Worksheet

How to think through AI Agent problems end-to-end: scoping, debugging, and knowing when to pivot.

AI Engineer with 10+ years of experience

AI Problem Framing for Agentic AI

Head of Technical Enablement

AI Engineer / Product Engineer

Professor

Chief of Staff

Senior Data Scientist

AI Problem Framing is to AI teams what System Design is to software engineers and Product Sense is to PMs. Whether you're building, evaluating, or leading AI work, this is the foundational thinking skill that separates results from rework.--🚨 Summer cohort: June 1 – June 26 🚨Use Code: Earlybird (20% discount if you sign up by April 30th)---What you get:🔄 The Loop, a 5-step framework you'll use to think through every AI project🛠️ Bring your own AI Agent project and apply the frameworks each week (or use a provided case study)🧑‍🏫 2 Live sessions per week plus office hours📊 Access to 200+ case studies, the largest collection of AI reframing examples📋 Additional reference material covers traditional ML and Gen AI use cases🎥 Lifetime access to all recordings---This course is for you if:• Your AI works in demos but fails in production• You've spent months on a problem only to realize you solved the wrong problem• You lead AI work but came from engineering, product, or PMYou'll learn from 200+ AI failures in 4 weeks. You gain years of experience and recognize the scars.Student or between jobs? Message me. Financial assistance is available

Evals aren't enough, Learn the power of reframing AI problems

Frame AI problems right the first time

Diagnose what's actually broken

Own the problem, not just the solution

Steer your team past expensive mistakes

We focus on framing and strategy, not explaining what models or training means. Basic vocabulary lets us go deeper faster.

You understand what AI/ML is at a conceptual level.

Real experience gives you context. The frameworks click when you can map them to projects you've actually built or managed.

You've worked on or led AI projects in some capacity.

This is about decision-making, not implementation. You'll learn what to build and why, not how to code it.

No coding during the course. Its about frameworks for thinking, not tutorials.

Engineers who can build AI but want to master outcome engineering: knowing what agent to build, not just how

Building agents, RAG pipelines, or ML models? Let's get your demos into production! Learn the thinking that makes the difference.

Managers who need to evaluate AI project proposals, set realistic milestones, and know when to escalate

Go Beyond AI Evals: Diagnose and Decide

AI Engineer, 10+ years, 100k followers

Don't look at a metric and ask "how do I make this go up?" Instead, is this a model issue or a framing issue?

Go to the next level of error analysis

Learn quick diagnostic tests, based on years of experience doing AI projects. Catch issues earlier.

Apply diagnostic tests that go beyond standard evals

You diagnosed the problem. Now learn to connect your signals to a decision: persist, stop, or pivot

Decide whether to persist, pivot, or stop

A one-page tool you can run on any AI project starting today.

Bonus: The AI Framing Worksheet

Ship Your AI Project: 3 Questions

Most teams jump to a solution before locking down what decision the system is supporting and how they will measure it.

Lock down the right problem and metric

Agents aren't always the answer. Know what you are building and why so you can adapt when things change.

Choose the right approach for your problem

If you can't define success before building, you're doing research, not product.

Rajiv Shah helps AI teams build the right thing

Rajiv Shah

About Rajiv

Courses

AI Problem Framing for Agentic AI

Lightning Lessons

Go Beyond AI Evals: Diagnose and Decide

Ship Your AI Project: 3 Questions

Resources

Reframing at AI Engineer Europe 2026

AI Framing Worksheet