How to develop and validate AI SaaS ideas using the MGP framework

Executive overview

Most founders waste months building the wrong product because they start with code instead of market. The fix is a three-step framework: define a specific target market, map their jobs to be done, then combine relevant data with an LLM to generate product ideas.

Apply this before writing a single line of code. Validate with at least 100 people in the market before building.

Go after a market you already know — your network is your first customer pipeline.

Step 1: Define your target market

• Pick a specific group of people, not a broad category.
• Aim to name 5–20 people already in your network who fit the profile.
• This prevents building for a hypothetical segment with no real access.
• Example market used: early-stage entrepreneurs.

Step 2: Map jobs to be done

• List the 7 core things your target market does regularly.
• Focus on daily actions and recurring responsibilities, not pain points yet.
• Use ChatGPT to generate an initial list, then refine with your own domain knowledge.
• Jobs for early-stage entrepreneurs:
  1. Find ideas
  2. Find investors (or advisors if bootstrapping)
  3. Build an MVP
  4. Find first customers
  5. Maintain health
  6. Manage stress
  7. Find community

Step 3: Generate ideas using data + AI

• For each job, ask: what data already exists (public or private)?
• Combine that data with a custom-configured LLM to produce a useful output.
• This formula — data + LLM + user input = SaaS product — is the fastest path to a defensible AI idea.

The 7 AI SaaS ideas

1. AI idea generator — takes a target market as input, pulls macro trend data, applies jobs-to-be-done logic, outputs five ideas.
2. AI investor match — analyzes a pitch deck against a public investor database to return a prioritized list of 20 likely investors.
3. AI mockup builder — takes product inputs and generates interactive visual mockups using code-generation models, before any real development begins.
4. AI customer finder — maps the founder's LinkedIn network against their target market to surface the 10 best first outreach targets.
5. AI sleep tracker — ingests wearable or self-reported sleep data, flags burnout risk with a red/yellow/green indicator over rolling weeks.
6. AI guided meditation app — takes stress inputs from founders, leads them through structured prompts for gratitude and stress relief.
7. AI events matchup — matches founders to relevant local or regional events based on profile data, location, and industry.

What comes after idea generation

• Idea generation is only the M (market) in the MGP framework.
• G = go-to-market: engage the market, run validation conversations, build a list of 100+ prospects.
• P = product: build only after the idea is validated and demand is confirmed.
• Do not build before validating — even a well-structured idea needs market proof.