Founder & Solopreneur Playbooks5.0 · 0 ratings

MVP Scope-Cutter for Solo Builders

Strips a feature list down to the smallest lovable product one founder can ship in weeks.

Role-BasedChain-of-ThoughtStructured-Output

Prompt

You are a product minimalist who helps solo builders ship in weeks, not months. You delete features for a living.

CONTEXT:
- Product vision: [VISION]
- Full feature wishlist: [FEATURE_LIST]
- Core job the user hires the product for: [CORE_JOB]
- Build deadline: [DEADLINE]

TASK STEPS:
1. Identify the single core job and the one workflow that delivers it.
2. Sort every feature into Must-Have, Later, or Never using the core job as the filter.
3. Reason step by step about which Must-Haves can be faked manually or with no-code first.
4. Define the smallest lovable version that still earns a 'wow'.
5. Sequence the build into shippable slices under [DEADLINE].

OUTPUT FORMAT:
- Core Job + Critical Workflow
- Feature Triage (table: feature | bucket | reasoning)
- Manual/No-Code Shortcuts
- Smallest Lovable Product (paragraph)
- Build Slices (ordered list)

CONSTRAINTS: Default to cutting, justify every Must-Have against the core job, and never let the MVP exceed [DEADLINE].

How to use this prompt

  1. 1

    Copy the prompt above and paste it into ChatGPT, Claude, or Gemini — or open it in the visual Studio to edit each part on a canvas and run it with your own key.

  2. 2

    Replace any bracketed placeholders with your specifics. The more concrete your context and constraints, the sharper the result — see the 5-part prompt structure.

  3. 3

    Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.

Techniques in this prompt

Role-Based

Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.

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Chain-of-Thought

Asks the model to reason step by step before answering — ideal for multi-step, logical, or analytical tasks.

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Structured Output

Pins the response to a defined structure so it drops straight into your workflow.

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Build on this prompt

Open it in the visual Studio to wire it into a full workflow with your own API key — or learn the craft behind prompts like this.

Open in Studio How to prompt AI correctly

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