Hermes flags pool-service errors while routes are live
A pool-service route manager reports using Hermes to check live technician reports, flag anomalies and send Telegram and Slack alerts before routes finish.
Suggested prompt
Suggested prompt written by Agents In Use, not the source author. Replace bracketed inputs and review tool permissions first.
Using [routing sheet], [history sheet] and [QC rules], check new service reports for missing actions and inconsistent readings. Send evidence-backed flags to [manager]. Do not change treatment instructions without authorised review.
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See placements →What happened
A pool-service route manager reports using Hermes to check live technician reports, flag anomalies and send Telegram and Slack alerts before routes finish.
Reported by u/andrewtcombs on RedditHow the agent did it
- Maintain routing and service-history sheets with established QC rules.
- Build Hermes skills and run dry runs before expanding access.
- Read live technician service reports against historical context.
Where a person stepped in
The manager builds the QC framework, reviews dry-run output, corrects assumptions and progressively grants access. Alerts surface issues for field staff and the manager.
A route manager responsible for more than 400 weekly pool visits describes adding Hermes to processes they had already built. A routing Google Sheet records assignments and filter-clean schedules. A second sheet stores service history, chemistry patterns, reliability context and suspected leaks. Technicians submit live readings, photos, chemicals and actions through the company’s service software.
The manager developed instructions and skills with Hermes, tested them in dry runs and expanded access only after correcting bad assumptions. The resulting QC workflow examines incoming reports while technicians are still on their routes. It flags questionable chemical adjustments, repeated readings, missed actions and inconsistencies with a pool’s history, then contacts the manager through Telegram and the technician through Slack when necessary.
The author reports that a morning brief saves 10–20 minutes and that batch onboarding fell from roughly two hours to 18 minutes. Those timings are personal reports rather than an independent comparison. The useful implementation detail is to supply an explicit routing and QC framework before granting operational access: the agent did not invent the business rules. The account does not prove its chemistry judgments are universally reliable, so flagged reports still require a qualified person’s decision and field follow-up.
Prompt
Suggested prompt (written by Agents In Use, not the author's)
Source: Reddit · u/andrewtcombs on Reddit
Frequently asked questions
Did Hermes create the QC framework?
No. The manager built the routing and analytics layers first, then developed guidelines and skills with the agent.
Why are live alerts useful?
The author can catch a questionable report while the technician is still on the route, rather than after the day ends.
Are the time savings verified?
The stated morning and onboarding timings are the manager’s own reports, not independent measurements.
More details
Remaining steps
- Flag suspicious readings or missed actions to the manager and technician.
About this account
Hermes checks arriving reports, compares service history and routing context, and decides which anomalies need timely Telegram or Slack attention.
Firsthand account by u/andrewtcombs on Reddit; original publication date verified against Reddit JSON created_utc 1781419243 (2026-06-14 UTC). Outcomes are the author’s reports, not independently reproduced. Suggested prompt written by Agents In Use; not the author’s original prompt.
Credit: u/andrewtcombs on Reddit
Source published 14 Jun 2026
Source checked 14 Oct 2026
Tools and topics
Google Sheets · Telegram · Slack · Pool service software
Field service · Quality control · Anomaly alerts
Editorial completeness: 100/100. Measures documented fields, not agent performance or verified outcomes.