Book an AI build sprint

You don’t need another blog post. Let’s build together.

“If you’re looking for the promised AI productivity gains everyone’s talking about, start here.”

- Lenny Rachitsky

If you’re reading this, you’re in the top 5% of people using AI agents for real, daily, strategic work. To create org-wide momentum, I offer hands-on AI build sprints.

Workshop students include:

  • Director of Product at Google Labs

  • Head of Engineering at Amazon Web Services

  • VP Product at Fidelity Investments

  • CEO of Zapier

I’ve led workshops for product leaders at Apple, Microsoft, Amazon, Meta, Google, Netflix, Stripe, Oracle, McKinsey, General Motors, Siemens, Walmart, Visa, JP Morgan Chase, Nike, Kaiser Permanente, and a range of hyper-growth startups.

They all wanted outcomes: higher quality work, at higher velocity, and less coordination overhead.

For those who want efficiency, structure, and support, AI build sprints get the job done with:

  • A butts-in-seat deadline to create critical mass and org-wide momentum.

  • The freshest stuff (I learn faster than we can publish) plus curated external resources and a Slack community for ongoing discussion

  • Hours of live, direct access, abundant open Q&A, a trained team to get you unblocked, and my personal Whatsapp (yes me, no not 🦞)

For companies

I offer dedicated, tailored AI build sprints for companies.

“I’ve been driving a decision on our [redacted initiative] and my copilot has been such a huge help. I used it heavily to write a DACI grounded in user feedback and data I analyzed with MCP.

…once a decision was made, I continued to use it to create a prototype and research implementation. It’s been a really helpful tool to increase my leverage without having to rely on Design and Engineering right off the bat. Good way to do solo exploration as a PM.” - Product Manager

Capstone outcomes

  1. Every participant builds a fully working, individually-tailored AI second brain

  2. Build a shared context repo and the habits to maintain it

  3. Build a company-contextualized AI operating system

  4. Increase velocity in every step of PDLC: strategic decisions, data analysis, discovery, soft skills, AI prototyping, go to market, etc.

Anti-goals: “how LLMs work,” performative prompts and hacks, creating a rigid system that doesn’t allow for personalization and flexibility.

“Recently had to put together a strategy doc for 2 of my squads. My AI had so much context from my 1x1s, meetings, JIRA, Coda that it saved me tons of hours getting to a first draft I could review with my team.” - Product manager

“Weekly product board updates used to take me multiple hours, now it takes about 15 minutes and it’s more detailed and reliable.” - Product manager

“I had to write a few one-pagers that encapsulated disparate call transcripts as well as information in Slack and Coda, which my co-pilot was able to flawlessly gather as context.

I then had a first draft that only required a bit of back and forth to finalize. Saved me hours plus was an enjoyable workflow I’m repeating often now…. Picking one powerful AI tool and going deep is one of the biggest capability unlocks.”

- Product manager

📫 To discuss a build sprint for your team, contact me at talsraviv at gmail.com. I tailor each build sprint based on role expectations, product principles and culture, and areas where the org wants to level up. We’ll start by discussing where your team is at today with AI.

For individuals

Build AI Product Sense (2025-present)

My workshop with Aman Khan hit #1 when it launched. Get notified when the next cohort opens for enrollment.

To get a taste, join 5,952 product people who signed up for our free lightning lesson or experience our interactive AI guest post in Lenny’s Newsletter.

"I've been building AI products for almost a decade, but had never really taken my adoption of LLM tools to the next level. After following the guide you published in Lenny's Newsletter, I'm delighted to say I have been working at a velocity that I had never imagined. I've been ideating, documenting, prototyping, and researching with ~80-90% efficiency." - Product Manager

Build Your Personal AI Copilot (2024-25)

My original Maven course was also chosen by Lenny as “top course in product.” See what students had to say:

“After completing three Reforge cohorts and several other PM courses, I can confidently say that your course has had the most direct and immediate impact on my growth as a product manager.”

These days this workshop is only available to companies. I realized that the biggest impact comes from getting everyone in an organization to the starting line at the same time.