Ask-Morev0.1.1

A user asks for a product recommendation that involves multiple trade-offs (e.g., a laptop for AI development under $2000). Multiple LLMs provide diverse perspectives on battery life, GPU performance, and build quality, then are synthesized into a balanced recommendation.

A user describes ambiguous symptoms (e.g., chronic fatigue, joint pain) and wants multiple LLMs to suggest possible conditions or next steps. The diff report highlights consensus (e.g., see a rheumatologist) and conflicts (e.g., differing opinions on lab tests), helping the user prepare for a doctor visit.

A user drafts a contract clause and uses /ask to get multiple LLMs to review it for risks, ambiguities, or missing protections. The diff report shows where models agree on red flags and where they diverge, enabling a more thorough review before signing.

A startup founder asks whether to pivot from B2C to B2B. Multiple LLMs provide arguments for and against, covering market size, unit economics, and operational changes. The structured report highlights consensus on risks and unique insights, aiding the decision-making process.

A developer encounters a obscure error in a cloud deployment. Using /ask, multiple LLMs suggest different root causes and debugging steps. The diff synthesis identifies the most likely cause (consensus) and alternative approaches (unique insights), reducing time to resolution.

Offer ask-more as part of a premium tier in a productivity or AI assistant platform (e.g., for power users needing multi-model insights). Basic users get single-model chat, while ask-more unlocks for a higher monthly fee.

Charge per /ask invocation, with pricing based on the number of models used and question complexity. Users buy credits or pay-as-you-go, suitable for platforms where usage varies widely (e.g., a chatbot marketplace).

License the ask-more skill as a white-label solution for legal, medical, or financial advisory platforms. These platforms embed multi-LLM consultation as a premium feature under their own brand, paying a per-seat or revenue-share fee.