The former CISO of Blackstone calls agent authorization 'the #1 biggest emerging problem in AI today.'
Agents will exhaustively exploit every permission they inherit. The fix has to live at the execution layer.
That’s why we built Arcade. From @WSJ: wsj.com/cio-journal/ar…
🚂 Live today @ 1:30 PM PT
I'm building an optimized MCP server for Railway, live & from scratch. Tight tools, clean auth, lean payloads, real deploy patterns.
All aboard 👇
In production, authorization, reliability, and governance collapse into one problem the moment an agent tries to do something real.
That is what we built. Full thinking behind our Series A: arcade.dev/blog/arcade-se…
Arcade just raised $60M. $72M total.
Every serious enterprise agent deployment is going to need a secure action layer.
Watch @TheMostlyGreat on why we built it and why now.
From the guys who wrote the MCP authorization spec Anthropic adopted. figuring out how to safely give agents access to production systems is a big problem. glad i invested!
We saw the action and control layer coming. Now we're going to own it.
Everyone focused on the models. We focused on what happens when the agent actually does something.
@WSJ covered our $60M Series A today: wsj.com/cio-journal/ar…
congrats to arcade for their launch!
they make it super easy to use thousands of tools
if you want to try them out with langchain - easiest way is probably our no-code agent builder: docs.langchain.com/langsmith/flee…
We saw the action and control layer coming. Now we're going to own it.
Everyone focused on the models. We focused on what happens when the agent actually does something.
@WSJ covered our $60M Series A today: wsj.com/cio-journal/ar…
We saw the action and control layer coming. Now we're going to own it.
Everyone focused on the models. We focused on what happens when the agent actually does something.
@WSJ covered our $60M Series A today: wsj.com/cio-journal/ar…
Eight new agent-optimized toolkits this week.
Ashby, DataDog, Customer.io, Freshdesk, Apollo.io, Vercel, Fly.io, Discord Bot. Plus improvements to Google Flights and Google Sheets.
Try them out at arcade.dev.
everyone has a dope AI agent demo. almost nobody has one that survives monday traffic....
On July 2nd @TryArcade is joining {AI} in Production along with @inngest, @cursor_ai, @Vapi_AI.
real prod lessons, free food, good people. Hosted at Inngest HQ
rsvp in replies. come find me 👋
Apple introduced agentic AI to a consumer audience. That expectation walks into work on Monday.
Most enterprise agents can't meet it. People try once, hit the wall, and never return.
The bar is rising. Are your enterprise agents equipped to keep up?
wsj.com/tech/apple-wwd…
"the model wasn't nerfed. the harness was."
every release, a log of folks swear the old model got dumber overnight.
@shubcodes and I recorded Hot Weights EP 5 on why the brain is the same — and the harness is what changed.
Introducing Omni MCP, a research preview from Arcade Labs.
Over 500 tools on one MCP connection.
Your agent searches for exactly what it needs the moment it needs it.
Token efficient, no upfront tool decisions, works with any MCP client.
Try it: omni.arcade.dev
Biggest lever in agent tool use isn’t model tweaks.
It’s description quality.
Across 20K+ evals, it’s the strongest factor in whether an LLM selects and correctly uses a tool (after name, then usage patterns).
Iterate your descriptions. It’s a 10x lever.
Watch the full session from Sam Partee (@TryArcade): bit.ly/4dy5JJB
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