Hermes curates a reviewed Notion knowledge base
An attorney reports Hermes backfilling a Notion Q&A database from email and adding new material nightly, with reviewed tags controlling public promotion.
reddit.com
Suggested prompt
Suggested prompt written by Agents In Use, not the source author. Replace bracketed inputs and review tool permissions first.
Extract recurring questions and answers from [authorised correspondence] into [private database], removing identifying details. Leave approval tags blank. Promote an entry only after I review it and add [approved tag]. Report uncertain extracts.
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Sourced account- Source author
- u/NeurosisByAnalysis on Reddit
- Original account
- Read the source ↗
- Published
- Source link checked
- Reported result
- An attorney reports Hermes backfilling a Notion Q&A database from email and adding new material nightly, with reviewed tags controlling public promotion.
- Human involvement
- The attorney reviews and revises Q&A entries before tagging them. The wider chatbot service was still being built, and the account describes expert response review.
A linked account supports attribution. It does not mean we independently reproduced its result.
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How the agent did it
- Give Hermes access to authorised prior consulting email threads.
- Extract candidate Q&A records into a private Notion database.
- Leave the category blank until the attorney reviews and revises the answer.
An attorney and small-business owner describes running Hermes on a Raspberry Pi 5 with an SSD, a Telegram gateway and Notion. Among several reported uses, the agent helped turn past consulting correspondence into a reusable knowledge database. The owner says Hermes backfilled the database from earlier email threads and continues checking sent mail each night for substantive client questions and answers.
The important checkpoint is a two-stage database. Hermes extracts candidate Q&A records into a private database and leaves their category blank. The attorney reviews and revises each record, then adds a tag. A separate scheduled job detects tagged records and moves them into the public-facing database intended for subscriber search and a chatbot. The proposed service includes escalation of uncertain questions and manual response review.
At publication, parts of the wider subscription and SMS service were still being built. The demonstrated outcome is the populated database and nightly review workflow, not a proven legal-advice service or completed launch. The account is useful for subject experts organising recurring answers, provided private correspondence is handled appropriately and every public answer receives expert review. Its approval signal is a data field the agent can inspect, which helps avoid publishing an unreviewed extraction merely because it exists.
Prompt
Suggested prompt (written by Agents In Use, not the author's)
Source: Reddit · u/NeurosisByAnalysis on Reddit
Frequently asked questions
What marks a record as reviewed?
The owner adds a category tag after reviewing and revising the private Q&A; a later job uses that tag for promotion.
Was the subscription service already complete?
No. The author describes parts of the subscriber dashboard and SMS backend as still being built at publication.
What had already been populated?
The author says Hermes backfilled the Notion database from earlier email threads and checks new sent-mail answers nightly.
More details
Remaining steps
- Run a nightly check for newly answered client questions.
- Promote only records the reviewer has tagged to the public database.
About this account
Hermes searches correspondence, structures candidate knowledge records and detects approved tags on a schedule without a separate extraction prompt for each email.
Firsthand account by u/NeurosisByAnalysis on Reddit; original publication date verified against Reddit JSON created_utc 1784311273 (2026-07-17 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/NeurosisByAnalysis on Reddit
Source published
Added to Agents In Use
Source checked
Tools and topics
Notion · Telegram · Gmail · Raspberry Pi 5
Knowledge base · Review tags · Email extraction
Editorial completeness: 100/100. Measures documented fields, not agent performance or verified outcomes.