Your team uses AI every day. None of it builds on what the others learned.
Each person's AI sessions are isolated. Decisions made in one conversation don't inform the next person's work. 3ngram gives your team shared memory, so the AI knows what the team has decided, not just what one person asked.
1. Duplicated decisions
Two people on the team independently ask their AI the same architecture question. They get different answers. Neither knows the other already made a call.
3ngram: Shared memory space for team decisions. When someone records a decision, everyone's AI knows about it. No more conflicting approaches discovered at code review.
2. Commitments without visibility
Team members make commitments in AI sessions: "I'll refactor the auth module" or "I'll update the API docs." These live in individual chat histories. No shared visibility, no follow-up.
3ngram: Team-visible commitments with deadlines. Briefings surface what's overdue across the team. The AI can remind people about their own commitments and flag blockers.
3. Onboarding new team members
New hires spend weeks absorbing tribal knowledge. They ask questions that were answered months ago in someone's AI session.
3ngram: Accumulated team memory: architecture decisions, naming conventions, patterns, past mistakes. New team member's AI starts with the full context from day one.
Give Your Team's AI Shared Context
3ngram gives every team member's AI access to shared decisions, commitments, and accumulated knowledge. No more duplicated work, no more invisible commitments.
Request access