- Recursive deepen — multi-level Tree-of-Thought expansion, not just one level
- Pluggable scorers — user-defined weights and custom trap detectors
- Frame packs — security, ML, frontend, distsys, product
- Memory across runs — learn which frames win for which problem shapes (issue #10)
- Streaming output during divergence
- Cross-LLM support — frames don’t depend on Claude
- Cross-model judging for the eval suite (issue #6)
- Hyperfocus / flow-state companion skill (issue #11)
Open research threads
Findings from the independent Han research review are tracked openly:- Issue #16 — human-in-the-loop applicability (CHI 2025 counter-evidence)
- Issue #17 — frames vs personas: how persona-prompting findings do or don’t map
- Issue #18 — bridging the K=5 vs K=100 scale gap in the diversity literature
- Issue #13 — a controlled
parallel-Nvssingle-prompt-list-Ncomparison