Agents that answer, follow up, and book the meeting
Every reply answered in minutes, day and night. Human-in-the-loop until you trust it, fully autonomous when you do. Trained on your offer, wired to your calendar, running on your own LLM key.
Free 7-day POC. Unlimited users on every plan. Works on email and LinkedIn replies alike.
Watch one reply get handled
A prospect writes back. The agent drafts. One detail is unverifiable, so it stops and asks you.
An illustration of the review flow, not a screenshot. The times come from your connected calendar; the hold comes from a rule you wrote.
What the agent knows before it writes
Five inputs, all yours. Nothing is invented in between.
Your offer
What you sell, who it is for, the pricing you allow an agent to quote, and the claims it may never make.
The thread so far
Every message on this prospect, email and LinkedIn, including the campaign that started it.
Live calendar availability
Open slots read from Cal.com, Calendly, Chili Piper, Google Calendar, GoHighLevel or HubSpot at the moment of writing.
Your tone rules
Sentence length, greeting, sign-off, banned words, and how hard to push for the meeting.
Your knowledge base
FAQ, docs, case studies, and the client context attached to that workspace.
Out comes one reply
In your voice, with a real time on it, or a hold if any of the five came up short.
From drafts to autonomy
Every agent starts on a short leash. You lengthen it one label at a time.
Week 1
A human reviews every draft before it sends.
Weeks 2-4
You approve per label as the agent proves itself.
Trusted labels
Go autonomous. Interested replies run themselves.
A reply that makes an unverifiable promise, misses a required link, or breaks a style rule gets held for review instead of sent, no matter how autonomous the label is.
The output is a booked meeting, not a draft folder
Agents book on the calendar you already use, and stop the moment the meeting is on it.
Real product: the meetings your agents book, in one list.
Availability is read at write time from Cal.com, Calendly, Chili Piper, Google Calendar, GoHighLevel or HubSpot. No invented times.
When the prospect picks, the agent books it, logs it, and triggers your reminders and workflows.
Agencies attach a calendar to each client workspace, so every booking lands where it belongs.
Four switches you hold
Autonomy is granted, never assumed.
Your own LLM key
Anthropic, OpenAI or OpenRouter. No markup, no metering, and you pick the model per agent.
Testing Center
Run the agent against real past lead messages. Tune the prompt, rerun, compare, then ship.
Autonomy per label
Interested replies can run themselves while pricing asks stay human forever. Per label, per client.
Held for review
Unverifiable promises, missing links, broken style rules: the reply waits for a human instead of sending.
Agencies run agents across dozens of client workspaces, each with its own prompt, calendar, and escalation rules. One team we work with serves 40+ clients with two reply handlers where six used to sit.
Explore more: Unibox, LinkedIn Inbox, integrations, pricing
Questions we get
Will AI replies hurt my deliverability?
Will the AI send something wrong to a high-value prospect?
How much human oversight do I need?
Do I need my own OpenAI or Anthropic key?
How is this different from my sequencer's AI reply agent?
Can it actually book meetings, or just suggest times?
Does it work on LinkedIn too?
What if I just want the agent to run everything?
See it on your own inboxes
Book a demo and watch an agent draft, escalate, and book a real meeting on a live thread.
Book a demo