Episode
50 ai agents are running this guy's business. no employees?
- Published
- Jul 10, 2025
- Duration seconds
- 3150
- Processing state
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- https://share.transistor.fm/s/279fea18
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Summary
https://www.graphed.com/ - AI data analyst to build dashboard and get insights In this episode, Adam Silverman — co-founder & CEO of Agent Ops — dives deep into what “AI agents” actually are, why observability matters, and the very real marketing & growth automations companies are shipping today. From social-listening bots that draft Reddit replies to multi-agent pipelines that rebalance seven-figure ad budgets in real time, Adam lays out a practical playbook for founders, heads of growth, and non-technical operators who want to move from hype to hands-on results. Guest socials • LinkedIn: https://www.linkedin.com/in/adamsil • 𝕏 / Twitter: https://x.com/AtomSilverman • Company: https://agentops.ai Timestamps 00:00 — Defining “agents”: reasoning-powered automations, not AGI 00:54 — Introducing Adam & the 50+ internal agents his team uses daily 03:32 — “Vibe marketing” and why every employee will soon have an AI assistant 05:18 — Live example: an inbound-lead-scoring agent that books calls automatically 08:11 — Metric shift: revenue / agent & revenue / token 10:45 — Three-point filter for agent ROI: expensive, repeatable, low-risk tasks 12:56 — Social-listening agents for Reddit, X & forums (human-in-the-loop posting) 16:14 — OrcaBase + TripleWhale: agentic ad-spend rebalancing for e-com 21:29 — WhisperFlow → Claude to generate entire email sequences in minutes 25:04 — Multi-agent systems & OpenAI Agents SDK (Crew AI, Llama-Index, etc.) 40:12 — Tech stack cheat-sheet: AgentQL, BrowserBase, Composio, Anthropic Claude 3, Gemini 1.5 Pro 48:07 — Internal hackathons & “minimum viable post” culture for continuous learning Key Points • Observability is table-stakes. Enterprises won’t deploy agents without 99.99 % reliability, so logging, evals &…