panning-for-gold

To extract ideas from voice transcripts and brain dumps, you can process raw multi-topic notes through a phase-driven workflow that inventories every thread before filtering. This ensures no early ideas are lost during extraction.

Organizing messy markdown exports involves extracting every thread, evaluating the strongest ones, and generating a permanent synthesis file. This process transforms scattered notes into a complete, evaluated inventory suitable for long-term memory.

Yes, saving raw transcript input to permanent files is supported as the initial phase. This ensures the original source material is preserved before the agent evaluates threads and generates the final synthesis outputs.

Yes, panning-for-gold is designed for Open Brain integration. It generates a gold-found synthesis file that captures evaluated ideas, making the outputs suitable for capturing and preserving long-term memory across sessions.

Agents lose context when raw ideas are not saved to permanent files. By writing evaluations and generating a gold-found synthesis file inline, you preserve the complete inventory of ideas across agent runs and sessions.

Early filtering limits idea extraction by discarding potentially valuable threads before they can be evaluated. A phase-driven extraction approach captures every thread first, ensuring a complete inventory before evaluating the top ideas.