Find stale commercial listings and email brokers
this Hermes bot finds stale commercial lease listings, renders 12 AI walkthroughs of the empty space as different tenants, and emails the listing broker...on autopilot. Task: Suggested implementation: A Hermes Agent workflow scrapes commercial lease listings, filters by days-on-market and zoning, and generates 12 AI walkthroughs of empty suites for different tenant types. It calculates commission values and drafts personalized emails to brokers. The source claims full automation from sourcing to outreach, but no human approval step is documented.; tools: Hermes Agent. Human role: The original post does not say how a person stayed involved.; limitations: Prerequisites include access to real-time listing data, city zoning codes, and AI rendering tools. The source does not specify costs, API limits, or error handling for failed renders. Reliability is low as the post is a promotional thread; human approval is critical before sending emails to avoid spam flags or reputational damage..
Tools
Published on Agent Work Atlas:
Overview
this Hermes bot finds stale commercial lease listings, renders 12 AI walkthroughs of the empty space as different tenants, and emails the listing broker...on autopilot.
Workflow
Suggested implementation: A Hermes Agent workflow scrapes commercial lease listings, filters by days-on-market and zoning, and generates 12 AI walkthroughs of empty suites for different tenant types. It calculates commission values and drafts personalized emails to brokers. The source claims full automation from sourcing to outreach, but no human approval step is documented.
Reported result
No measured outcomes, conversion rates, or actual commission closures are reported in the source. The claim of closing $15k+ commissions is a marketing assertion without evidence of execution success. A measurable acceptance check would require tracking email open rates and broker replies from a controlled pilot batch.
Human role
The original post does not say how a person stayed involved.
Limitations
Prerequisites include access to real-time listing data, city zoning codes, and AI rendering tools. The source does not specify costs, API limits, or error handling for failed renders. Reliability is low as the post is a promotional thread; human approval is critical before sending emails to avoid spam flags or reputational damage.
Try it
Act as a commercial real estate automation specialist. I want to test a lead generation workflow using Hermes Agent. [Replaceable inputs: Target city, specific commercial listing URL or dataset, broker email list, tenant persona types]. Step 1: Scrape 5 stale commercial lease listings in [Target city]. Step 2: For each listing, generate 3 AI walkthroughs representing different tenant types (e.g., retail, office, medical). Step 3: Draft personalized emails to the listing brokers including the walkthroughs and estimated 5-year lease value. Step 4: STOP. Do not send any emails. Present the 5 drafts and walkthroughs to me for review. I will approve or reject each. Only after my explicit confirmation for a specific batch, send the emails. Measure success by broker reply rate. If data is missing, ask for the listing source. If rendering fails, log the error and skip that listing.
Source reports are not independently verified. Publication date is the catalog publication date, not the original article date.