How it works · from signup to first output in 47 min

Connect. Train. Ship.

Five steps, about an hour of your time. Then your AI team runs — and you get your calendar back.

STEP 01

Connect your tools in 4 minutes.

OAuth to the 5-6 tools each agent needs. We never read anything we don't need; every scope is listed up front. You can disconnect at any time.

  • 22+ integrations. No engineering.
  • Scopes shown before consent.
  • Revoke access in one click.
Connect integrations
Gmail
LinkedIn
X
Slack
Notion
HubSpot
Stripe+
Calendly+
Shopify+
6 / 22 connected · est. 2 min remaining
STEP 02

Train each agent on your voice.

Paste 20 past posts, upload your brand guide, or import your style doc. Agents study how you write, what you care about, and what you never say.

  • Voice guide generated from examples.
  • Per-agent tone (social ≠ outbound).
  • Edit the guide anytime — it updates all future work.
Voice profile · Maya
Tone: direct, lowercase-ish, anti-hype
Sentence length: short. Often fragments. For emphasis.
Avoid: "game-changing", "revolutionary", em-dashes in series
Reference: past posts with >4% engagement
Trained on 23 posts · drop more examples anytime
STEP 03

Set guardrails and approval gates.

Decide what needs your sign-off and what ships autonomously. Most teams start strict and loosen up as trust builds — usually within 2 weeks.

  • Human-in-the-loop on any agent.
  • Per-channel approval rules.
  • Full audit log, timestamped.
Approval rules
LinkedIn postsapprove before publish
Replies to commentsautonomous
Cold email (new ICP)approve before send
Follow-ups (sequence)autonomous
Anything > 200 recipientsapprove before send
STEP 04

Agents start working. You stop doing busywork.

Within an hour, Maya's drafting your first week of posts, Tobi's surfacing three competitors you missed, Bianca's clustering tickets, Luna's drafting outbound.

  • Average time-to-first-output: 47 minutes.
  • Morning digest summarizes the day ahead.
  • Slack you when something needs attention.
Today · Mon 9:41 am
MayaDrafted 3 posts for Thu–Sat
TobiFlagged 2 competitor pricing changes
BiancaClustered 48 tickets · 3 new themes
LunaBooked a discovery call at 2pm
STEP 05

Review, tweak, ship. Rinse, repeat.

Every output lands in your inbox, Slack, or dashboard. Approve, edit, or reject — each interaction teaches the agent. Three weeks in, most teams approve 80%+ on sight.

  • One-click approve / tweak / reject.
  • Feedback trains in real time.
  • Weekly report of what worked.
Pending · 3 items
Maya · LinkedIn draft
The best founders I know have one trait in common: they're allergic to meetings that could be memos.
+ 2 more waiting · avg. 9 sec/review
Under the hood

Serious tech. Zero jargon.

01
Best model for the job

We route each task to the frontier model that handles it best — Claude for writing, GPT for research synthesis, specialist models for vision. You don't pay per-token; it's all included.

02
Your data is yours

Your content is isolated to your workspace. Nothing trains shared or public models. Enterprise gets dedicated instances with custom data residency.

03
Humans in the loop

Every agent supports approval gates. You stay in control; the agent just removes the 90% of work that was already predictable.

04
Transparent reasoning

Click any output to see what the agent read, what it considered, and why it chose the angle it did. No black box.

Day one vs. day thirty

What happens in your first month.

Hour 1
Connect 5 tools. Pick agents. Train on voice.
Kickoff
Day 1
First 3 outputs in your inbox. You approve 2.
First ship
Week 1
Maya posting daily. Tobi surfacing 4 signals/day. Luna live.
Rhythm
Week 2
Approval rate hits 72%. You loosen the gates.
Trust
Week 4
Your team's asking if they really needed that contractor.
Compound
Day 60
You cancel a SaaS tool and a contract. You keep the plan.
Replace

About an hour from now,
you'll be shipping.

Start free trial — 14 daysSee pricing