Sales

Find local businesses already advertising, as sponsor leads

  • Level Beginner
  • Setup~30 min (estimated)
  • Evidence Anecdotal
  • CostNot stated in source
  • No-codeNo
Hermes AgentChatGPT AgentCodexSource-linkedBeginner-friendly

What they did

For a local newsletter, the agent finds businesses already running local ads, checks they serve the area, finds the contact info they publish, and saves each lead with the original ad attached. It never guesses contact details and flags anything it couldn't verify.

How it went

Real workflow from the author's own local newsletter, with clear rules (no guessed contacts, keep sources). No result numbers given

Worth knowing

  • Real workflow from the author's own local newsletter, with clear rules (no guessed contacts, keep sources). No result numbers given.

Prompt

Cleaned version rewritten from the source — not a direct quote.

Find [10] local businesses already advertising in [city or area], in local newsletters, papers, websites or social ads. For each one, confirm they serve [area], find the contact info they publish on their own site or listing, and save the business name, contact, source link and a copy of the ad to [a spreadsheet]. Never guess an email or phone number. If you can't verify something, mark it unverified.

Recommended

Try it in Grok Bot

  1. Copy the prompt (button below).
  2. Open Grok Bot chat and paste it. Replace any [bracketed] placeholders.
  3. Connect the listed tools (Email) as connectors when Grok Bot asks.
  4. If the task repeats, ask: "Make this a daily routine."

Alternatives: the same prompt works in Hermes Agent, ChatGPT Agent, Codex, Claude, OpenClaw.

Set it up

Tools: Email · Stack: Hermes Agent + ChatGPT/Codex

  1. Read the original source for full context.
  2. Connect the tools your agent needs.
  3. Paste the prompt and replace [bracketed] placeholders.
  4. Run once manually and check the output before scheduling it.

Generic suggested steps, not from the source.

Evidence

Real workflow from the author's own local newsletter, with clear rules (no guessed contacts, keep sources). No result numbers given

Source: X · 2026-10-14 · Verified by us: not yet · Report broken or outdated

Related use cases

SalesReddit

Prospect B2B leads autonomously for 2 weeks (lessons)

An agent running 24/7 on a Mac Mini finds prospects, verifies emails, sends outreach, makes PDF briefings, and tracks the pipeline, keeping a lessons log so it improves over time.

  • Level Intermediate
  • Setup1–3 hrs*
  • Evidence Strong evidence
OpenClawSource-linked
CodingX · 2026-10

Hermes Agent Nearly Doubled Speech-to-Text Accuracy on Hard Words: 99 to 183 of 240

A user turned his 15K saved Wispr Flow dictations into a test set for the local Whisper model behind his Hermes Agent. The agent turned his Wispr dictionary into a hint list, diffed raw vs corrected text to find words Whisper keeps mishearing, made find-and-fix rules, and tested every rule against the full history. With no fine-tuning, dictionary words went from 99/240 to 183/240 on Wispr clips and 19/45 to 43/45 on sentences he read aloud. It now archives the data nightly and looks for new fixes weekly.

  • Level Advanced
  • Setup1–3 hrs*
  • Evidence Strong evidence
Hermes AgentSource-linked
SalesReddit

Research inbound leads when HubSpot fires a webhook

A HubSpot webhook alerts a 'Researcher' agent, which scrapes the prospect's site and LinkedIn for recent news. The trigger itself is a plain webhook, not an LLM.

  • Level Intermediate
  • Setup1–3 hrs*
  • Evidence Some evidence
OpenClawSource-linked