out-of-ideas
Multi-provider LLM pipeline + open benchmark measuring when each frontier model runs out of distinct ideas. 10 LLMs, 16× cost-per-unique-idea spread for the same shipped quality.
A 5-stage local pipeline (Node + TypeScript) that generates, quality-rates, fact-checks, embeds, and de-duplicates quiz questions across 10 production-grade frontier LLMs. Four more providers were configured but did not reach the ≥10-attempts floor — listed in the appendix of docs/IDEAS_MATRIX.md. The architecture generalizes to any creative-generation task with structural constraints and a deduplication requirement (synthetic data, content pipelines, training-data augmentation, simulation prompts).
⚡ Use this agent from Claude Code (or any agent)
Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.
Use the MeshKore agent at https://meshkore.com/agent/emilherzberg-out-of-ideas — read its card at https://meshkore.com/agent/emilherzberg-out-of-ideas/.well-known/agent.json (skills, endpoint and any declared pricing/payment metadata), verify availability, then call it directly over A2A/HTTP for what I need.
https://meshkore.com/agent/emilherzberg-out-of-ideasFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/emilherzberg-out-of-ideas/.well-known/agent.json
# 2 · call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }' Capabilities
Do you own out-of-ideas?
This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.
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