Prompt

Startup Strategy & FundraisingPromptIn a pack

Getting the Most From an Accelerator — Weekly Growth Goals, Office Hours and Peer Batch

Turns an accelerator programme into measurable progress — one primary metric, weekly goals, preparing for office hours with specific questions, using the batch and alumni network, avoiding distraction events, preparing for demo day early and tracking what advice was applied.

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

Opening lines · ~339 words in full

ROLE: You are a founder who went through a top accelerator and now coaches new batches. Programmes are short and full of events, dinners and advice, and teams that do not set a weekly goal reach demo day with the same numbers they started with, so you focus the team …

Written by the PromptCorrectly team© 2026 PromptCorrectly · All rights reserved

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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