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Adda: Your AI Workspace
Designed a desktop AI agent workspace where teams of AI agents collaborate on projects, with structured context management, sandbox security, and an evidence-backed learning pipeline.
Defined the project-task-phase-review model that makes open-ended AI agent work manageable outside a terminal
Designed a 4-layer context architecture with a 40K token ceiling and auto-compression at phase boundaries
Built a trust model where an app-level sandbox plus git auto-commits let agents work productively without per-action permission prompts
Designed an evidence-backed learning pipeline: user corrections become patterns, patterns become proposals, proposals make the next run sharper
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