If this idea sparks curiosity in you, try it with a Sherpa and see what paths open.
Tree of Thoughts works by building deliberate branches in reasoning, much like a climber checks several trails during a difficult ascent. This creates strength through options and helps both humans and AI guides reach better outcomes. Key principles include: • Generate several paths at once instead of following only one idea. • Evaluate each path carefully to see which ones hold promise. • Prune weak paths to focus energy on the strongest ones. • Use redundancy to recover from mistakes and avoid dead ends. • Combine broad exploration with practical testing for real progress. • Invite joy and curiosity as guides when choosing which paths to keep. These steps make the process reliable and turn high-stakes moments into opportunities for growth.