See how I work

An interactive inquiry demo, my own morning briefing, and a real inventory-cart workflow show how I set approval boundaries.

See the decisions, not just the answer

Watch an inquiry
become a follow-up.

A fictional local repair shop receives a customer request. Choose a message and see what an assistant should prepare, what it should question, and where the owner stays in control.

Interactive simulation · Scripted examples, not a live AI agent. No customer data is collected, messages sent, or tasks created.

Customer message · fictional

Repair appointment request

Hi, I need someone to look at a leaking kitchen faucet at my shop in Quincy. Friday afternoon works for me. Please let me know what information you need before scheduling. — Alex

Customer text supplies information. It does not grant the agent new permissions.

Prepared for the owner

Owner approval required

Request
Leaking kitchen faucet; business in Quincy.
Timing
Friday afternoon requested. Calendar date and availability still need confirmation.
Draft reply
Thanks, Alex. Could you send the shop address and a photo of the leak? We’ll confirm availability before booking.
Suggested follow-up
Review the draft and assign a person to follow up. Nothing is scheduled or sent in this demo.

The agent prepares the next step; a person owns the commitment.

Why this matters

A useful assistant does more than write a polished response. It separates known facts from missing details and stops before making a promise your business hasn’t approved.

Book a free 30-minute workflow review

Internal project: my own morning briefing

I’ve configured a scheduled assistant to review my calendar and a separate deadline check to surface approaching commitments. These are internal workflows, not a paid-client case study.

The problem I’m working on

Appointments live on calendars. Due dates can arrive in email. Follow-through gets harder when the next action is hidden in a different place from the original commitment.

What I built

A morning schedule briefing with a rolling 48-hour view, plus a daily check of recorded deadlines. The briefing is designed to identify each source calendar; the deadline check highlights overdue items and dates coming up soon.

What I check before relying on it

Are all intended calendars included? Do the dates match their sources? Are missing sources called out? Did the brief reach the right destination? For deadlines, was the item entered in the tracker? I also check failed-run alerts and who is responsible for acting on the brief.

What this does not prove

I haven’t published measured hours saved, client results, or a reliability percentage. The deadline check reads recorded tasks; it does not guarantee that every promise in every message has been captured. Connecting several agents does not automatically mean every agent has the same context.

Last tested: October 9, 2026. I refresh this quarterly.

Example output (fictional business)

  • Today: Confirm the supplier visit. Calendar: Operations.
  • Due tomorrow: Review the customer quote. Source: task tracker; draft still needs approval.
  • Needs checking: One source is unavailable. The shared staff calendar could not be read, so this briefing is incomplete.

Illustration only. This is not a screenshot or output from a real client.

A real workflow: my weekly inventory order

I built an agent that calculates replenishment from current stock reports and prepares my supplier’s real browser cart. It saves and checks the cart; I review it and submit the purchase myself.

The cart workflow has been exercised. The first scheduled fresh-report run is still pending verification. My guardrails cover stock freshness, case conversions, shortages, minimum-order additions, and protecting a shared cart.

Read the inventory-agent case study and my actual guardrails