Proof

In practice.

The systems, live. What they do, who they work for, and the receipts.

The fleet

I operate a fleet of named agents in production every day, for clients and for my own business.

Arthur

Speed-to-lead

Answers every inbound call, text, and form fill within minutes, around the clock. Asks the few questions that qualify a job, books the call, and hands the operator a warm lead with the context already summarized. After-hours requests get an instant acknowledgment so nobody waits until morning wondering if they were heard.

WatchesInbound line · web form · after-hours
Works for: a DFW contractor

Stella

Follow-up & reactivation

Keeps every open thread moving so nothing depends on someone remembering to circle back, then re-opens quiet past-client relationships with a specific reason to talk instead of a blast. Knows who has gone cold, who is due, and what was last said to them.

WatchesOpen quotes · stalled threads · past clients
Works for: my own pipeline

Doc

Reporting

Compiles the monthly Bot Doctor Report for every client: what each system handled, what it caught, and what it was worth, in plain numbers. This is the agent that writes the report you can see a sample of below.

WatchesEvery system · every client
Works for: every client
The report

Every client gets a Bot Doctor Report: the monthly breakdown of what the system did and what it was worth. Here's a real one, redacted.

Bot Doctor Report
Client: [ redacted ]
Period: [ month ] 2026
Sample
34Leads handled
MinutesFirst response
58Follow-ups sent
6Past clients reactivated
11After-hours requests caught

Findings

  • Caught 11 inbound requests after 6pm; every one got a reply inside the first-response window.
  • Asked qualifying questions on 34 jobs and flagged 9 as high-intent, each summarized for the operator.
  • Re-opened 6 past-client threads that had gone quiet; 2 booked follow-up work.
  • No request waited longer than the response window during business hours.

What it was worth

Conservatively, the after-hours catches alone recovered work that would otherwise have gone to whoever called back first. At this client's average job value, the two booked reactivations cover the system's monthly cost several times over, and the operator stopped manning the inbox between jobs.

Adjustments

Tightened the qualifying questions for water-heater jobs after two vague threads, and added an after-hours acknowledgment so prospects know a human follows up first thing the next morning.

Next period

Watching weekend inbound, which is trending up, and testing a same-day callback offer for high-intent leads.

Illustrative figures. The published version carries one real, redacted month from the client below.

Case study

The plumbing contractor.

Every request now gets a fast, personal reply and the right follow-up questions, and the operator picks up a warm lead with the job context already summarized.

When a pipe bursts, people call two or three plumbers and hire whoever gets back to them first. Respond within five minutes and you are 21 times more likely to qualify the lead than if you wait half an hour.

Harvard Business Review, “The Short Life of Online Sales Leads”

Before

Crews were in the field all day, so inbound calls and form fills piled up until someone could get to them, often hours later. By then the prospect had usually called the next contractor on the list.

The build

We installed a speed-to-lead agent on the inbound line and the web form. It replies in minutes, asks the few questions that qualify a job, and hands the operator a warm lead with the context already summarized. After-hours requests get an acknowledgment so nobody feels ignored overnight.

After

Now every request gets a fast reply, around the clock. The operator picks up qualified leads instead of chasing cold ones, and the month's numbers are the ones in the report above.

This client's numbers appear in the sample report above.

Start here

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