Recursive Flint: All Four LogicMark Benchmarks, Scores and Failures
We test Recursive Flint on both LogicMark 1.0.0 suites in Tool-assisted and Quick modes, documenting objective scores, protocol failures, timing and API usage.
Chat with configured AI models, run agent workflows and isolated browser tools, and use on-device transcription tools. Browser-based models and tools run on your device; cloud-provider requests go to the provider you select.
Optimize inference speed, context length, and token cost across Gemini, OpenAI, and local WebLLM models.
Tutorial 02Watch specialized design, development, and quality control agents collaborate in real-time.
Tutorial 03Save reusable instructions for your workspace and understand how skills affect the context sent to a model.
We test Recursive Flint on both LogicMark 1.0.0 suites in Tool-assisted and Quick modes, documenting objective scores, protocol failures, timing and API usage.
A sourced examination of AI token efficiency, reasoning summaries, cost per successful task and the security risks of losing monitorability.
MiniMax M3.1 Flash tested through free OpenCode: original crane, globe, wizard-game and task-board HTML, browser screenshots, timings, downloadable evidence, 16 passing board checks and a reproduced game physics failure.
Step 5 Preview through free OpenCode: embedded crane, globe and task-board HTML, both failed game attempts, exact prompts, download files and reproducible checks. The task board passes 15 of 16 DOM cases; real-browser visuals remain unverified.
Rechecked October 10: all 19 OpenRouter decision-model entries, with exact IDs, context limits, input/output and cache-read prices, free variants, and API differences. Includes Clef’s serving limit and Tev1’s Chat Completions interface.
OpenRouter chat produced a detailed glass-crane SVG, while globe requests hit provider rate limits and the game retry returned no visible HTML.