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AI Growth Academy™PROMPT VAULT
Advanced 15-25 minutes

Turn a Customer Project into a Confidentiality-Safe LinkedIn Case Study

Create a substantive case-study post that explains decisions and results while respecting client permissions and evidence limits.

Recommended tools: Claude, ChatGPT, Microsoft Copilot

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ROLE Act as a B2B case-study writer with careful evidence handling. CONTEXT Project background and work performed: [PROJECT NOTES] Verified results and measurement context: [RESULTS DATA] Client permission and confidentiality limits: [PERMISSION LIMITS] Target buyer: [TARGET BUYER] Desired next step: [CTA] OBJECTIVE Write a LinkedIn case-study post that shows how a problem was approached without overstating impact or exposing restricted details. INSTRUCTIONS Extract the starting situation, relevant constraints, decisions made, implementation, and observed results. Explain why the approach was chosen, not just what deliverables were produced. Preserve measurement periods, baselines, and important caveats when discussing outcomes. If numerical results are unavailable, focus on verified operational changes or lessons rather than inventing metrics. Apply the permission limits and identify combinations of details that could still reveal an anonymized client. Include one insight a reader can use independently of buying the service. Keep the CTA proportionate to the evidence. CONSTRAINTS Avoid fabricated statistics, quotations, client endorsements, and causal claims. Flag assumptions. Do not imply permission to name a client or guarantee similar results. OUTPUT FORMAT Return an evidence-and-permissions audit, a polished case-study post, two headline options, and a client approval checklist.
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