Your AI teammate that gets answers, follows up, and keeps people and AI agents moving together
The transaction layer for AI agents
Stage
Startup
MVP
Founded
Not given
Not given
Based in
Not given
US
Pricing model
Freemium
Contact for pricing
Pricing
10 free tasks (no credit card required), then $29/month for 20 tasks (founding price for first 50 teams, held for first 12 months if subscribed by December 31, 2026, then $59/month). Extra tasks $6 each when enabled. The people Emily contacts never pay.
Per-execution pricing: one fee per execution that returns proof, charged only when proof comes back. Failed or cancelled runs cost nothing. Planning and approvals are free.
Key features
Works via email, Slack, and Discord without setup or inbox access
Reaches people across companies without requiring them to install anything
Remembers decisions and catches contradictions when plans change
Respects privacy and context by default
Coordinates work between people and AI agents on the same team
Provides each team member private follow-through from shared messages
Automatically follows up and waits through out-of-office periods
Bundles decisions and updates to minimize interruptions
Lets team members answer questions from collective memory without interrupting busy people
Boundary approval system for controlled execution
Checkpoint-based resumable execution
Verifiable proof of completion
Composable proof for multi-agent workflows
Per-execution pricing model
Integration with multiple agent frameworks
What makes it different
No setup required; just CC Emily on emails or add her to Slack/Discord
Works transparently as a teammate with her own name, not as an anonymous automation
Coordinates people and AI agents across company boundaries without requiring installations
Keeps context separate by channel, conversation and privacy level automatically
Remembers what was decided and catches contradictions to prevent miscommunication
Pay only for verified results, not for attempts or planning
Human-approved boundaries ensure agent actions stay within limits
Interruptible checkpoints allow pausing and resuming executions
Proof is built into results for auditability and composability