The full story
DejaThink was built to solve a specific product gap: most AI tools exist outside the conversation, requiring users to copy-paste context or context-switch between tabs. The goal here was to embed AI directly into the team environment: present inside group threads, listening to the full conversation, and contributing when useful.
The platform was architected around three interaction modes. Solo chat gives users a private AI conversation with persistent memory across sessions. Team chat enables multiple users to collaborate in a shared thread while the AI monitors the full conversation and contributes contextual input in real time. Mission mode allows individuals or teams to define a goal, and the AI becomes a strategic partner, surfacing action items, flagging blockers, and tracking progress toward completion.
The backend was engineered to handle concurrent multi-user sessions with full AI context threading, keeping the model informed of the conversation history. Users approve each memory before it is saved. Authentication, session management, per-user encryption and workspace-scoped data access were implemented to support secure team environments.
DejaThink shipped with all three modes working and an onboarding flow, on an architecture built for feature expansion. AI is the core function of the product, not an add-on.


