# AI Agents

Build a best-in-class automation tools stack with 5 focused layers: deliverability, CRM, enrichment, orchestration, and AI—plus a real-world example.

Learn how the Hermes AI memory layer cuts token costs for inbox triage agents by persisting routing rules across sessions, not re-sending them every run.

Learn how consulting agencies can transition to agentic workflows without breaking delivery—what to automate, where to add AI agents, and a 5-stage rollout plan.

Learn what AI coworkers are and how to build role-based agents in Notion with least-privilege permissions, cost guardrails, explicit triggers, and review.

Learn what a Bullhorn MCP server is, how it connects Claude/ChatGPT to Bullhorn safely, and which read-only tools, auth, logging, and guardrails to ship first.

Learn to build two Notion AI agents: a meeting task extractor and a daily email digest. Covers triggers, permissions, guardrails, and a 4-week rollout.

AI agents breaking in production? This fix failed AI playbook covers the 6-step rescue audit: stabilize, diagnose, instrument, remediate, and govern.

Learn how to automate Google review responses with AI while keeping humans in the loop. Covers Zapier, Make, and 3 trigger options. Get the workflow.

Build AI appointment confirmation calls that reach leads 24 hours before their visit, capture outcomes, and sync Airtable and Calendly with Zapier.

Learn how to build an AI file organization workflow for Google Drive: ledger-based matching, confidence scoring, and an audit trail.

Make AI agents let your automation workflows decide which tools to use—no hard-coded branching. Learn structured prompting, guardrails, and multi-agent patterns.

Executive mastermind group for AI leaders: hot-seat format, member screening, and facilitation so every session ends with a concrete decision.