Deep playbooks with the prompts, schemas, and automations we run for clients — free, PDF, no email gate. Plus a rolling feed of what the team shipped, broke, and learned this week. Browse by what you need to fix; leave with something you can deploy before lunch.
The seven-touch nurture we install at every brokerage — prompts, timing, sample copy, and the one message that does half the work.
How to run outbound to property owners without sounding like outbound — enrichment stack, voice matching, and routing rules.
Building a 24/7 front desk that can schedule tours, triage maintenance, and escalate the things a human actually needs to touch.
A single system-prompt change cut our tenant-intake voice agent's average handle time by 41% and dropped escalations below human baseline. Here's what we changed and why the old version was wrong.
After 73 deployments we're done pretending Follow Up Boss, kvCORE, or Hubspot are the right base layer. What we replaced them with, and what we kept.
We open-sourced our internal rubric for scoring AI-generated listing copy against real broker-written copy. Three axes, 48 examples, apache-2.0.
10-min walkthrough of Ridgeline's first week fully on voice-agent front desk. Unedited, with transcripts.
Side-by-side with our previous stack on the three tasks that matter: lease summarization, listing generation, tenant triage. Numbers in.