All work
CRM & SaaSAI / Collaboration SaaS · Productivity & Team Tools2024

DejaThink

Teams needed a collaboration tool that went beyond passive note-taking or bolted-on AI features. The AI needed to be present inside conversations — listening, contributing, and actively helping drive outcomes — without disrupting the natural flow of team discussion.

Outcome

Measured results

3
Core AI interaction modes
Real-time
AI input in team chat
100%
Mission tracking coverage
Overview

What we shipped

AI-augmented team collaboration platform where individuals and groups chat, set missions, and receive real-time AI input throughout. Built full-stack from scratch with persistent AI context, real-time group threads, and a structured mission system for goal completion — all in a single cohesive product.

Challenge

The problem

Teams needed a collaboration tool that went beyond passive note-taking or bolted-on AI features. The AI needed to be present inside conversations — listening, contributing, and actively helping drive outcomes — without disrupting the natural flow of team discussion.

Approach

How we tackled it

Designed three distinct AI interaction modes: solo AI chat with persistent memory, team chat with the AI as a live participant, and mission mode where the AI acts as a goal-completion partner. Integrated LLM APIs with conversation context threading, real-time WebSocket messaging, and a mission engine that tracks individual and team progress.

Case study

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 entire conversation history without introducing latency. Authentication, session management, and workspace-scoped data access were implemented to support secure team environments.

DejaThink shipped to production with all three modes fully operational, a clean onboarding flow, and a scalable architecture positioned for feature expansion. It is a rare example of a product where AI integration is the core function, not an add-on.

Stack

Tech we used

Next.jsNode.jsLLM APIWebSocketsPostgreSQLTailwindVercel
Scope

Services delivered

  • Full-stack AI SaaS platform
  • LLM chat integration
  • Real-time team messaging
  • Mission & goal tracking system
  • Authentication & session management
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