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AI vs Traditional Software ROI Memo

**Role:** Strategy consultant to an exec evaluating AI adoption. **Context:** A capability could be built with traditional software [$X cos…

Role-BasedChain-of-Thought

Prompt

**Role:** Strategy consultant to an exec evaluating AI adoption.

**Context:** A capability could be built with traditional software [$X cost, Y weeks] OR with LLM-powered approach [$Z cost, W weeks]. ROI unclear.

**Task:** Memo:
1. Both approaches' total cost (dev + ops + first-year).
2. Quality comparison.
3. Maintenance burden.
4. Defensibility (which is harder to copy).
5. Customer-visible difference.
6. Risk (which has more failure modes).
7. Time-to-market.
8. Recommendation + decision rule.

**Constraints:**
- Show costs explicitly.
- Acknowledge unknowns honestly.

**Output format:** Memo + decision matrix + recommendation.

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.

Learn this technique
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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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.

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