Ship a useful free tool that solves a narrow audience problem and naturally introduces the paid product.
Source episode · 13:25
How I AI: Jason Levin's Workflows for Agentic Memes, Vibe Coding, and Hardware Hackingwith Claire Vo
13:25 to 19:40: Jason shows how Cursor helps a nontechnical founder create simple public tools that attract the same audience as Memelord’s paid product.
A fast public tool with a clear job, working output, analytics, and a relevant path to the core product.
AI-first code editor
Step by step
Follow the sequence once, then adapt the prompts, checks, and handoffs to your own setup.
4 steps
This approach begins with a cultural shift. Empower your marketing team with the autonomy to build and experiment, and provide them with an AI-native code editor like Cursor.
List ten small tools that solve repeated problems for [audience] and connect naturally to [paid product].
Brainstorm a small, specific problem your audience faces. The best ideas for free tools often solve the very first step of the larger problem your main product addresses, acting as a simple entry point to your brand.
Choose the idea with one clear input, immediate output, and low maintenance burden.
Open an AI-native code editor like Cursor. In the chat interface, describe the tool you want to build in plain language. The assistant will generate the initial code, explain how it works, and help you debug it.
Build [tool] with [inputs], [output], mobile layout, analytics, and a relevant call to action after the result.
Use the AI assistant's chat and debugging features to refine the code until the tool is functional. Once it works, publish it on a dedicated '/tools' page on your website. Avoid overthinking the launch; the goal is to ship quickly and learn.
Test the public URL with representative inputs, fix broken states, and ship the smallest complete version.
Turn an idea into a PRD, user stories, and a plan.
After the steps
How to recover when the loop fails and where human judgment helps.
Recover
Keep building
Create context-aware guardrails for your enterprise AI agent using a 'Project' governance layer. As a project owner, define rules, scope tools, and require human-in-the-loop approval for sensitive actions, ensuring safe and effective AI use.
Transform a successful AI chat session into a reusable skill that anyone in your company can use. Package prompts, tools, and code into a standardized workflow, making it easy to share and scale automation across your organization.
Use a natural language AI agent to instantly generate and iterate on custom data dashboards. This workflow queries your company's data securely, allowing non-technical users to perform their own 'last mile' data analysis without filing tickets.
Join 100,000+ product managers who use ChatPRD to write better docs, align teams faster, and build products users love.