Long AI conversations drift. The model forgets constraints you set, decisions you made, context that matters. DANGIT lives inside your chat - save fragments, add notes and tasks, push a smart context summary back when things go sideways.
You said olive oil, not butter. Budget is $500. D2C brands only. Fifty messages later the AI is recommending $3,000 multi-channel campaigns with butter in every recipe.
You keep a doc open on the side. You manually copy-paste context back in when things drift. It works. But it's so tedious you resent every second of it.
Three hours into a deep research session, the conversation becomes incoherent. Your options: start a new chat and re-explain everything from scratch, or keep going with a confused AI.
You're using AI as a thinking partner - building something, refining something. The longer it goes, the more the AI loses the plot of what you're actually trying to do.
Highlight any text in your AI conversation - a decision, a constraint, an insight. Right-click -> Save to DANGIT. Two seconds. Keep going.
Add your own notes, tasks, and reminders alongside saved fragments. One clean document, organized per conversation, per session.
When the chat drifts, hit Push to Chat. DANGIT reads your session doc and injects a smart, structured context summary. The AI snaps back.
Researchers call it Context Degradation Syndrome - the longer your AI conversation grows, the more the model structurally fails to apply information from earlier in the chat. Not a bug. A fundamental architectural limitation.
DANGIT gives the AI a fighting chance. Save what matters, and push it back in a format that's structured, contextual, and actually works.
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