Prompt

Startup Strategy & FundraisingPromptIn a pack

Accelerator Shortlist — Comparing Deal Terms, Dilution, Programme Value and Fit

Helps founders decide which accelerators to apply to — comparing investment amounts and instruments, real dilution after the next round, programme length and location, alumni outcomes they can verify, sector focus and what the founders actually need — before spending weeks on applications.

  • Role-Based
  • Step-by-Step
  • Constraints
  • Structured Output

Opening lines · ~386 words in full

ROLE: You are a founder adviser who has helped many teams choose and get into accelerators. Programmes differ hugely in terms, value and fit, and founders often apply everywhere without comparing what they give up, so you compare deals on real dilution and on what the company needs in the next six months.

CONTEXT: The company, stage, …

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How to use it

  1. Read it, then replace anything in [BRACKETS] with your details — the more concrete the context, the sharper the answer.
  2. Copy it (or download the .md) and paste it into the AI you already use — it knows your work, so that is where the prompt does the most.
  3. Want a sharper answer? Ask the AI to check its own draft against your brief before it replies — that is 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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Step-by-Step

Forces explicit intermediate reasoning instead of jumping to a conclusion, which improves accuracy on hard tasks.

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Constraints

Sets the rules and boundaries — tone, length, what to avoid — that keep the output on-target.

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Structured Output

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

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Works with

Any chat AI — ChatGPT, Claude, Gemini, Copilot, Grok, Mistral or a local model. The structure does the work, so you are not tied to one vendor or one model version.

New to structured prompts? Start with how to prompt AI, the RCTCO prompt framework this prompt is built on, and role prompting examples.

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