Where would Clarified fit in a real AI workflow?
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About Clarified
Many of us are suffering from Decision Debt—the mental tax of making choices without a feedback loop. The Solution I built Clarified (tryclarified.com) to be a "System of Record" for your logic. It’s a dedicated space to move from "paralysis" to "action." How it works: • Quick vs. Deep Mode: Use "Quick Mode" to offload small daily choices. Use "Deep Mode" for the big stuff (career pivots, investments, etc.) using proven mental frameworks. • The Outcome Tracker: This is the part I’m most proud of. Clarified follows up and asks: "What actually happened?" We finally bridge the gap between what you intended to do and the actual result. • Your Decision Profile: The more you use it, the more it learns about you. It identifies your personal biases—like if you’re always too optimistic or too risk-averse—and helps you course-correct in real-time. The Roadmap (Plain & Simple) • Now: Solving "Decision Fatigue" for individuals and high-performers. • Next: Scaling to teams. If you’ve ever wondered "Why did we decide to do that three months ago?"—Clarified provides the answer. We’re building Institutional Memory so logic doesn't disappear when people leave the room. P.S. I’m looking for a technical co-founder to help me scale the 'stateful' side of this. If you’re into local-first data and AI memory, let’s talk.
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