YESWORTHY is a personal opportunity planner that helps people decide what is worth saying yes to. It brings together their goals, schedule, travel limits, budget, energy, and source evidence to recommend opportunities that fit, explain each choice, and safely prepare the next step. It learns from what someone accepts, dismisses, and later says was worthwhile, so each plan starts with context instead of asking the same questions again. For the Persistent Context Sprint, I added a MongoDB-backed travel-memory loop. Two separate fictional “too far” outcomes create an evidence-linked transit rule. A fresh MongoDB connection uses that rule to rebuild the next weekly plan, remove far options while preserving nearby ones, checkpoint the result, and restore the same plan through another connection. The live proof ran in the event Atlas M10 Sandbox and passed 4/4 focused tests. Pre-event code is separated at commit 14c1ade.
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