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Description
Work 1:1 with an expert to learn how to use AI tools and workflows to design better product features faster. You will learn how AI can support different stages of the product development process, from early ideation and research through feature design and product specifications. This coaching focuses on helping you understand how to apply AI in your own work and within your team’s product development process. Possible uses of coaching sessions, but not limited to: - Identifying opportunities where AI can improve your product or user experience - Using AI tools to accelerate ideation, research, and feature design - Scoping and defining product features with clear constraints and requirements - Designing UX and interaction patterns for AI-powered experiences - Writing clear product requirements and feature specifications - Defining success metrics and evaluation criteria for new features
What you'll get from this package
A repeatable workflow for designing features with AI
Faster ideation and product feature development using AI
Clearer, better-scoped product features and requirements
Practical ways to apply AI in your product team’s workflow
Additional details
Coaching delivered via live sessions and .
Services included:
Scoping & Requirements
Feature Prioritization
AI Product Design
QA
Product Strategy
Talk to a team member
Schedule a call with a Leland team member who can help you explore your options.
Schedule a call
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Offered by Jesse L.
Joined June 2021
5.0
Learn how to best use AI for Product Development | AI for PMs
I'm a PM on the new products team at GoFundMe, where I've shipped AI-powered features end-to-end: a multi-step generation pipeline for user-facing content, prompt systems tested against real user inputs, and an eval system that holds quality steady in production. I work in the actual mechanics of building with AI: scoping what an agent should do, structuring the pipeline, testing it against real inputs. And I know how this works inside a real org, where shipping AI means coordinating handoffs across Product, Design, and Eng. That's where most enterprise AI efforts stall. What sets me apart is that I build outside of work too. I've shipped several AI products solo with agentic coding tools: a fitness app, an AI image generator, a personal CRM, etc. I run a tight loop with AI at every step: write the spec, break it into tasks, execute with coding agents, then capture what worked and what broke in a file the agent reads next time. Each loop ships faster than the last. When I coach, I'm teaching the loop I run myself.
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