Terminal OS · Autonomous AI Setter

Books qualified calls
while you sleep.

Terminal OS researches every lead, qualifies intent, sends contextual replies, and books calls autonomously.

Terminal OS · Inbox
LIVE · 24 leads today
Inbox
Pipeline
Bookings
Rules
All leads
Marcus T.
84
Apex Coaching
Replied · qualified
Sarah K.
71
Mercer Capital
Follow-up sent · 2h ago
Devon R.
92
Vela Studio
Call booked · Thu 2:00pm
Priya M.
48
Northwind
Nurturing · low intent
01 / The problem

Most "AI setters" are spam machines with a calendar link.

They blast templates, ignore context, and burn your domain. Terminal OS reads the full conversation and only sends when it would actually move the lead forward.

Generic AI blaster
bot.v1
Hey [first_name], love your content! I help businesses scale to 7-figures. Want to hop on a quick call?
no response
Reply rate 2.1%
Booked 0.3%
Domain health Burning
Terminal OS · contextual reply
auto-sent
tried 3 of these, none worked
Fair, saw your launch last week. Here's a 2-min case: coach went $18k → $52k/mo on this exact flow. Thu 2pm or Fri 10am?
Thu works. send it.
Reply rate 38%
Booked 11%
Domain health Healthy
02 / The system

Seven specialist agents. One sales operating system.

Each agent owns one job. The manager coordinates them and escalates only when your rules say to.

Research

Reads CRM, profile, full thread history.

Qualify

Scores fit, intent, urgency, budget.

Draft

Writes in your real brand voice.

Guardrail

Blocks unsafe claims before send.

Send

Delivers when timing & signals align.

Objection

Resolves resistance contextually.

Book

Closes on calendar slot automatically.

Manager

Routes work, retries, escalates exceptions.

03 / The workflow

From cold lead to booked call, without a human in the loop.

Every inbound lead runs through the same autonomous pipeline. You watch outcomes, not inboxes.

Run timeline · marcus-t
end-to-end · 4.2s
  1. Lead enters pipeline
    01
    Profile + history pulled in 0.3s
  2. Qualified automatically
    02
    Fit 92 · Intent High · Score 84
  3. Reply drafted in voice
    03
    Context-aware, brand-matched
  4. Guardrails passed
    04
    0 flags, ready to send
  5. Sent automatically
    05
    Optimal timing window · 12:04
  6. Objection handled
    06
    Resolved without escalation
  7. Call booked
    07
    Thu 2:00pm · invite sent
Outcome · Booked call
no human intervention
Live performance
last 30d
Leads handled
4,217
+312
Calls booked
487
+58
Reply rate
38.4%
+12.1
Avg response
1.8m
-42m
Signal scoring · marcus-t
Fit · matches ICP92
Intent · asked for proof88
Urgency · follow-up in 48h64
Budget · qualified band79
04 / Built for control

Autonomous, not unsupervised.

You define what the system can and can't say, when to slow down, and what to escalate. Every decision is logged to an audit trail you can replay.

Guardrails

Block claims, topics, and price floors.

Escalation

Hand off edge cases to you.

Audit trail

Replay every decision and send.

05 / Who runs it

Built for serious operators.

Whether you run one pipeline or fifty, Terminal OS gives every workspace its own brain.

Run one tight pipeline. Every inbound gets researched, qualified, replied to, and booked, all night, all weekend, without hiring another setter.

Pipeline · this week
terminal-os
Auto-sent
487
+58
Booked
27
+12
Reply rate
38%
+9
Escalations
3
-2
Stage
Count
Δ wk
Inbound
142
+38
Qualified
89
+21
Replied
71
+17
In conversation
34
+9
Booked
27
+12

Stop chasing leads.
Start closing them.

Deploy an AI setter that researches, qualifies, replies, and books, 24/7, inside guardrails you control.