ok like always @jameygannon CHANGING MY LIFE with the @ElevenLabs MCP + cutting short form content (she's much better at this but i'm starting to learn) - took a janky cut from my iphone - did editing + figma brand overlays - capcut for music + a bit of manual tuning I might be back to being a tiktok girl

Some more tales from the road. Met with a couple dozen technology leaders this week across banking, media, information services, insurance, and consulting to discuss agents in the enterprise. Some of the biggest trends right now: * Cyber! Everyone nervous about the growing rate of vulnerabilities coming at them from AI, and the implications of the OpenAI Hugging Face incident. The conversation is not as existential as it is in Silicon Valley, but still highly concerned and pragmatic about what to do about it operationally in their environments. Lots of new discoveries due to AI, and still hard to keep up with all the changes they have to execute now. * Model battles persist. Most companies are deploying multiple frontier models within their enterprise. Too hard to standardize on anything and seeing different preferences across their teams and use cases. But the dollars are still concentrated on just a few vendors. Open weights still in infancy at scale in most of these organizations, often due to lack of domestic “frontier” OSS options. Plenty of appetite for more options here, but so far few places to go. * Agent security and identity. Somewhat tied to Hugging Face, there’s much more awareness to the new challenges around agent security and identity management in a world when agents are trying to get into every system they can. In a perfect world enterprises could setup identities for all their agents and control what they’re doing, but of course sometimes the agent needs to act exactly as the user as well. * Process reengineering. Most companies realizing that the big upside of agents is when they can change the actual workflow itself to get the full gains from AI. Far more ROI when companies can adjust their workflows to support agents changing how the work happens instead of just layering on agents into the existing flow. But the big question is who can actually tackle driving these changes, where does that live, etc. Best lessons were still around embedded FDEs in the functions. * Ruthless adjusting of architectures. Most companies had examples of changing systems out multiple times just in the past year or two with different vendors. I probably haven’t heard “we tried X and it didn’t work so have gone with Y” more than in today’s environment. The lesson here is that because innovation is happening so fast, no one hangs around until a vendor gets something right, they just move on to the next one. * Evals! Still very early for most companies to have a good grasp of evals of their workflows. A few customers out of a couple dozen called this out - huge opportunity right now for enterprises to have a good sense of how their work actually happens and how well AI is doing against it. * Legacy systems still a hurdle. As always, legacy systems still remain a mainstay issue that holds back enterprises from rapid adoption of AI in enterprises. Data is fragmented across legacy environments that weren’t built for an agentic world. Companies spending a lot of time just cleaning up these old platforms. Many more topics, but these tend to be some of the more top of mind items at the moment in the enterprise.

DON'T MISS: The next cohort of "Executive Playbook for AI in Engineering, Product, and Design" is now open for our October 3-4 session on @MavenHQ In this @cxodev course, @zachdavis and I teach execs what it really takes to change how your team ships with AI (and no, it's not just tokenmaxxing.) You'll get - prework and readiness assessments that find your AI gaps now - two half days of high signal tactics + AMAs from AI-native operators - a room of 50 of your VP+ peers - 90 days of open office hours to help you put it in practice Featured on @lennysan's List as a top AI course for leaders maven.com/lenny Attend with your team and get 20% off. Registration open now → maven.com/clairevo/ai-native…

So excited about the @lennysan and friends summit coming up in 2 weeks. The night before (Weds, Sept 9) I'm hosting a "How I Happy Hour" along with @Amplitude_HQ and @cxodev, featuring mini-demos from some of my post popular guests 🤩 RSVP here: luma.com/how-i-happy-hour

Hanging out with @poteto @n2parko @clairevo and the @bot team to get Amplitude setup on Grok Bot today. We're pretty permissive on AI tooling, but even so Grok Bot automatically takes action so getting the security right is the biggest blocker. Spent the first 20 minutes making sure we don't shoot ourselves in the foot. It always feels like you're drowning as an executive and you don't have time to spend messing around with your tooling setup. I think they've gotten the interface right as you're able to take action right away.

I am having the most fun of my life building with AI, and I think every company should, too so i'm starting something new: cxo.dev AI transformation consulting for AI-pilled leaders (by builders, not consultants) why I had to do it 👇

I am having the most fun of my life building with AI, and I think every company should, too so i'm starting something new: cxo.dev AI transformation consulting for AI-pilled leaders (by builders, not consultants) why I had to do it 👇

An overnight company, two years in the making

I am having the most fun of my life building with AI, and I think every company should, too so i'm starting something new: cxo.dev AI transformation consulting for AI-pilled leaders (by builders, not consultants) why I had to do it 👇