A pattern is emerging, and it's not pretty. Companies are pouring money into AI with no way to connect the spend to actual results, and when the bill comes, the response isn't to fix the tracking; it's to cut headcount. Uber's COO can't tie their AI investment to a single consumer feature. Microsoft canceled licenses because token costs spiraled out of control. The layoffs happening right now aren't because AI replaced the work. Blind spending on AI is the problem. With the right cost tracking and optimization loop, agents can absolutely pull their weight. But you have to be able to see what's happening first.

Hosting a small invite-only dinner in SF next week. Product leaders from Uber, Databricks, and Workday talking through how they measure agent ROI in production (monitoring, evals, observability at scale). Handpicking guests who are running live agent products. If that's you: luma.com/0sdppvf0

Claude Fable 5 is out. Anthropic says it exceeds any model they've ever made generally available. Maybe. But "better on benchmarks" and "better for your product" are two very different things. Before you switch, know what you're measuring. The cost jump only makes sense if your agents actually improve with it.

Agents still fail 99% of the time. Consumers are discerning. The hype veneer will wear off...it already is. If you're building agent products and shipping mediocre experiences, prepare for the churn wave coming your way. Build better agents. Now.

Having to argue with, teach, and guide your agent mid-task is exhausting. And yet none of the agent products I use have any form of correction detection or automatic optimization based on user guidance. They just... make you do it again. And again. So we're building it.

Im blown away by how terribly craptastic Gemini Enterprise Pro is. Just spent an hour helping a global bank customer troubleshoot their system. The model speed is atrocious, tools aren’t transparent, agent builder wizard cant build agents, context pollution was rampant… yeesh

We made the news last week, right alongside Sam Altman's mic-drop offer at Y Combinator and SpaceX's record-breaking IPO. Featured in @StrictlyVC's VC/startup funding roundup for our $2.2M pre-seed round led by @ycombinator and @FundersClub.

Huge week for @voker_ai - Ranked top 10 on Product Hunt - 70k LinkedIn impressions in the last week - 10k website visits - 60 customers onboarded - Written up by @kytsune at @SiliconANGLE & @theCUBE - Got 25 pies thrown in my face - Threw a RAGER to celebrate our new Agent Analytics Platform with 150 of our supporters, customers and friends - Hosted events at Lightfield and Corgi Cafe - Met up with new customers at ProductTank San Francisco, Cursor and WorkOS Appreciate all of you.

Had the pleasure of hosting an event at Lightfield on Monday, with CTO's @vesko_st, Adit Sanghvi (from @getdecisional), and @bertie_ai, to talk about what it takes to go from shipping your first agent to being the best in your category.

The proof is in the pie. Yesterday @voker_ai launched on Product Hunt, and we finished in the top ten. As promised... for every 10 upvotes I got pied in the face.

Most AI product teams are flying blind. They know how many agent conversations happened, but they don't know if any of them actually worked. @daltonc(CoFounder @standard_cap, Partner Emeritus at @Ycombinator) put it simply: "You can't improve what you can't measure." It's why we started @voker_ai

Have you ever wanted to pie a CEO in the face? Tomorrow’s your chance! Watch below to learn how. 🥧

Something we've noticed: everyone building agent products is dealing with the same hard problems, mostly in isolation. So we're setting up an informal working session at Corgi Cafe in SF, Thursday May 21st, 11am–1pm PST. Bring whatever you're stuck on. Whole product team is welcome. Free coffee, no agenda.

VOKER FEST 2026 🎈