40 agents on shift

Your business
runs on you.
It should run
on AI.

We build custom AI agents that handle the work your team doesn’t have time for. Start by telling us what eats your week.

what eats your week
press ↵ to run
or try
triage.result
IKE

Intake Ike

triggerEvent · new form or inbound message
human gateAssignee can reroute anything
est. return
~4h / wk

Preliminary match from a keyword pass. The audit does this properly against your actual operations.

CALContent CalMON 08:00PATPublishing PatON APPROVALROGReporting RogerMON + TUESWPBillable SweepFRI 18:00IKEIntake IkeON REQUESTSGESEO SageON DEMANDPRPMeeting PrepT-24HQABContent QAPRE-PUBLISHCMPCompetitor WatchWEEKLYONBClient OnboardingON SIGNINGRECInvoice ReconcileMONTHLYATMPost AtomiserON PUBLISHWIKWiki SyncON CHANGEDIGDigest BuilderFRI 17:00CALContent CalMON 08:00PATPublishing PatON APPROVALROGReporting RogerMON + TUESWPBillable SweepFRI 18:00IKEIntake IkeON REQUESTSGESEO SageON DEMANDPRPMeeting PrepT-24HQABContent QAPRE-PUBLISHCMPCompetitor WatchWEEKLYONBClient OnboardingON SIGNINGRECInvoice ReconcileMONTHLYATMPost AtomiserON PUBLISHWIKWiki SyncON CHANGEDIGDigest BuilderFRI 17:00

100+

businesses served

40+

agents in production

15+

years running growth

<4hr

avg response

01 / diagnostics

Three things we hear on almost every first call.

ERR_DISCONNECTED

“We’re using AI, but nothing’s connected.”

ChatGPT in one tab, Zapier in another, three subscriptions you barely touch. None of it talks to each other, and you’re still doing the work by hand.

ERR_AT_CAPACITY

“I can’t afford another hire, but I’m drowning.”

Your team is maxed. Every new client means hours you don’t have. What you need is capacity, and what hiring gives you is payroll.

ERR_NO_ENTRY_POINT

“I don’t know where to start.”

You’ve seen the demos. You know it’s real. The gap between “that’s impressive” and “that runs my business” still looks enormous.

02 / the system

Everything your business already produces, turned into finished work.

Your tools are already generating the signal. What is missing is the layer that reads all of it and hands back a small number of done things.

system.flow8 sources · 40 agents · 1 gate

in · your tools

GmailSlackClickUpAnalyticsSearch ConsoleFathom callsDriveGitHub

the harness

Skills & MCPs

Readcontext from your tools
ReasonClaude
Routehands off to an agent
human gate

approve · edit · reject

Nothing reaches a client, a platform, or an invoice without passing this.

out · agents

ROGreport draftedIKErequest routedCALpost queuedSWPtime flaggedSGEgaps surfacedPATpost scheduledPRPmeeting preppedQABdraft QA'd
raw signal ina human approves anything that leavesfinished work out

03 / anatomy

Five parts. Miss one and it’s just a tool with extra steps.

Most AI pilots die because a human still has to remember to start them. An agent runs whether you thought about it or not.

1

Trigger

an event, never a person

2

Context

reads your real data

3

Action

does the work

4

Gate

a human decides

5

Output

lands where work lives

04 / the roster

Six of the forty.
On shift right now.

Real agents running our agency today, not a product demo. Every one has a single job and a human checkpoint before anything leaves the building.

fleet.channels6 / 40 shown
channel.calnominal

Content Cal

Marketing

Generates the week's social posts with images, captions, and hashtags. Sets them to Ready for Review.

queued 6 posts for review
rendered 6 graphics
hashtag set resolved

human gate

Never publishes. A human approves every post.

replaced

A full morning of content batching

One agent, one job. Multi-purpose agents get confused, are impossible to debug, and quietly mix up your data.

05 / what we automate

The work AI should be doing for you.

AllMarketingClient opsReporting
01 / 03

Marketing operations

Content, social scheduling, email sequences, SEO monitoring, ad reporting.

02 / 03

Client operations

Intake, routing, status updates, time tracking, deliverable QA.

03 / 03

Reporting & analytics

Dashboards that refresh themselves. Reports written before you ask.

06 / proof

We built this for ourselves first.

Most AI agencies sell advice. We sell the system, because we had to build it to survive our own growth. Six people, a dozen clients, and an operations load that should have required fifteen.

The first agent we ever built swept for unlogged billable time. It found $0 in its first month and paid for everything that came after it. Four others never earned their keep and we killed them.

0+

hours returned weekly

0+

agents in production

6

people on the team

where the money actually goes

Build41%
Maintenance23%
Platform fees22%
Model usage14%

Share of total AI spend across our own fleet. A WE•DO estimate, not an industry figure. The surprise is that build and maintenance dwarf model usage — the tokens are never the expensive part. Full breakdown in our cost teardown.

07 / engagement

Start small. Prove it works. Then scale it.

Most engagements begin with the audit. It is the cheapest way to find out whether the rest is worth doing.

audit

AI Workflow Audit

$997

one-time

Find out exactly where AI belongs in your business before you spend a dollar building.

  • Full operations mapping
  • 3 to 5 ranked opportunities
  • 90-day roadmap
  • Delivered in 5 business days
buildCOMMON

90-Day Operations Buildout

$5,000

per month · 3 months

We design, build, test, and deploy the agents. By day 90 they are doing real work, unsupervised.

  • Workflow audit included
  • 3 to 5 custom agents built
  • Wired into your existing tools
  • Team training
  • 30 days support after handoff
operate

Ongoing AI Operations

Custom

month to month

We run and evolve the system as the business grows. Your AI ops team, off payroll.

  • New agents as needs emerge
  • Performance monitoring
  • Workflow updates
  • Cancel anytime

08 / next

Tell us where your week disappears.

We will map your biggest time sinks on the call and tell you which ones an agent should own first. If the answer is none of them, we will say that too.

$ audit --free --30min --no-deck