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If you're scaling AI agents and watching the bill scale with them, this one's for you. We went from a handful of people quietly experimenting with Gemini, Claude and Gumloop, to a setup where anyone can build and run an agent. We're getting more done per credit, not spending more credits. Open-source models did a lot of that heavy lifting. I'll be sharing exactly how, what we learned and what I'd recommend, live on August 20th with Gumloop hosted by Aron Korenblit.

If you can't tell whether your AI spend is paying off, you have to check this out. Bloom & Wild, Europe's largest online florist, gave their whole company access to agents without losing control of spend. They figured out how to catch runaway costs early and built the governance to keep it under control, without slowing down adoption. Join us live Sep 8 to learn how you can do this too. This genuinely might be one of my favorite sessions we've done

Our GTM team didn't set out to build an "agent starter kit." I just got tired of seeing every new rep spending their first weeks recreating what another team member had already figured out. So we made the agents everyone was quietly building for themselves, intent and account intelligence, outreach drafts, call prep, event scouts, CRM cleanup, into a kit on governable foundations (thx Gumloop) that every rep gets on day one. On August 20 I'm walking through how we built this at fal. 🤖⚡

If you're in GTM and you're still building agents solo, you have to check this out. The teams getting the most out of agents make them easy to pass around. When someone updates a skill, everyone's agents get better. When a domain expert builds a new agent, the rest of the team can pick it up and run it, with full security and visibility into how it works. That's how fal onboards sales reps. Everyone starts from the same "kit" of agents on day one. Join us live August 20 to learn how you can create this for your team

i've been interviewing 20-25 people per week recently during the "Sooo where you calling in from?" small talk, my Gumloop slack agent is digging through EVERYTHING about them - usage metrics + stripe payments (to see if "i love the product" is true) - all our emails together - ashby applications - x posts - linkedin history - any news on the web about them all streaming back to me in real time.

one of the biggest canadian clothing brands spends 167k/week on influencers their process is almost 100% automated whenever their team finds an interesting creator, they drop a link in Slack and a Gumloop agent: - watches their recent vids with gemini - calculates engagement ratios - checks that they meet all criteria - drafts + sends the DM One marketer built the agent and their entire team uses it daily in Slack.