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Implementation guide

AI Startup Launchpad

A four-step free AI toolkit for solo founders — from idea validation and tech stack planning to competitor research, workflow mapping, and cloning expert thinking on demand.

4 ordered steps

  1. Step 1

    Idea to roadmap

    Planning

    AI Startup Coach: Software-Building Roadmap with ChatGPT

    A ChatGPT prompt system that takes your background and startup idea and returns a custom tech stack recommendation, 90-day roadmap, and risk breakdown. Use this first to turn a vague idea into a structured build plan before spending time on research or execution.

    How to use it

    1. Describe your technical background honestly — the prompts are calibrated to return different stacks for builders with no code experience vs. developers.
    2. Save the tech stack recommendation and roadmap output to a working doc — you will reference it in later steps.
    3. Use the risk breakdown section to identify the one biggest unknown before you start building.

    Open resource

  2. Step 2

    Competitor intel

    Research

    AI Competitor Analyst: Monthly Market Intel in Your Inbox

    A Notion-based competitor intelligence system that scrapes competitor updates, summarizes them with AI, and delivers a repeatable market intel digest. Use it early to find gaps in what existing tools offer your target users before you lock in features.

    How to use it

    1. Run it against 3–5 tools that already serve your target audience — these are your closest competitors, not abstract market categories.
    2. Look for pricing tiers, missing features, and user complaints as potential positioning angles for your own product.
    3. Add the competitor summary to your working doc so it shapes the product decisions you make in Steps 3 and 4.

    Open resource

  3. Step 3

    Workflow mapping

    Operations

    The AI Implementation Blueprint

    A playbook built from 40+ real business implementations that teaches you how to map your startup workflows, find bottlenecks, and prioritize which tasks to automate first with AI. Use it before building to avoid over-engineering the wrong things.

    How to use it

    1. Map the core user journey your product will support — what does a user do, in what order, and where do they get stuck.
    2. Use the bottleneck identification framework to rank which workflow steps are slowest or most manual — those are your highest-value AI targets.
    3. Define one AI implementation for the MVP before using the mentor-cloning workflow in Step 4.

    Open resource

  4. Step 4

    Mentor clone

    Strategy

    Mentor-Cloning Prompts: Turn ChatGPT into a Business Expert

    A ChatGPT prompt guide for extracting the core decision-making patterns of any expert and loading them into a GPT so you can consult their thinking on demand. Use it to build a persistent advisory layer you can query as your startup evolves.

    How to use it

    1. Choose one expert whose thinking is directly relevant to your startup problem — a founder who solved a similar challenge, a domain expert, or a market-specific strategist.
    2. Run the extraction prompts against their public content: posts, interviews, articles, or books.
    3. Use the resulting GPT as your ongoing sounding board for product and positioning decisions as you execute the roadmap from Step 1.

    Open resource