Raw LLM Responses

Inspect the exact model output for any coded comment.

Comment
You're missing two important points: McKinsey's Lilli is Actually Different than a traditional LLM **1. Context and Data Depth** McKinsey's Lilli is fed by 100,000+ documents, analyses, and methodologies from the firm's 100-year history. This isn't just "general information about the energy sector" - it uses specific client data, McKinsey's proprietary analytical frameworks, and years of developed sector expertise. The critic probably tried a generic prompt and got a generic output. ([https://fortune.com/2025/06/02/mckinsey-ai-consulting-powerpoints-proposal-technology/](https://fortune.com/2025/06/02/mckinsey-ai-consulting-powerpoints-proposal-technology/)) **2. Proprietary Knowledge Architecture** McKinsey's system doesn't just create presentations - it maintains the firm's tone and writing style, finds relevant experts, and most importantly, can securely process client data. This goes far beyond what ChatGPT can do.
reddit AI Governance 1754855650.0 ♥ 1
Coding Result
DimensionValue
Responsibilitynone
Reasoningunclear
Policynone
Emotionindifference
Coded at2026-04-25T08:33:43.502452
Raw LLM Response
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