Announcing the hosted X MCP. Agents now have access to the best real-time information source in the world. Connect Grok, Cursor, or any MCP-compatible AI tool to the X API without any setup! Check it out here:

How to keep AI spend flat while token usage grows exponentially: Not with friction and spend alerts. With better defaults, routing, and caching. Better Defaults (not Usage Caps) – Engineers can choose any model they want, but defaults matter. We’re experimenting with defaulting to open weight models like GLM 5.2 and Kimi 2.7 through our LLM gateway, while still encouraging engineers to choose the right model for the task. 91% of our employees were never hitting their usage caps, so instead of lowering caps and driving up alerts, we're moving to cheaper defaults. Note that code reviews use a diversity of models, so they can check each other's work. Better Routing – In our custom harnesses, we preprocess prompts and route to the best model for the job, considering cache hits and model pricing. For instance, you may want a frontier model for planning, but not for execution where they can be overkill. Ultimately, humans shouldn't be choosing models - AI can automate this task. Better Caching – Cache misses are the easiest way to drive your cost up. All of our requests are cache aware, so we’re reusing a warm cache wherever possible. For example, our cache hit rate went from 5% → 60% in LibreChat once properly implemented. Keep Context Lean – Start fresh sessions when switching tasks. Scope file context narrowly. Disconnect unused tools. Don't just compact. The goal isn't fewer tokens used, it's fewer tokens wasted. Better Visibility – Our engineers can use as many tokens as they want, from whatever model they want, but we’ve made usage visible – and the more you spend on AI, the more impact we expect. The goal isn't to suppress usage. It's to build the infrastructure that makes exponential growth sustainable. Putting this into practice has cut our AI spend nearly in half, while our token usage continues to grow.

What happens to SaaS when agents do all the clicking? @sonicaghi, CEO and co-founder of Kong. "Most of the flashy SaaS companies will just become an API key in somebody's .env file embedded into agentic coding loops." "Think about Salesforce... Marc Benioff just announced Atlas 360. A $40-50 billion revenue business rebuilding itself to be agentic consumable. All MCP and APIs. All programmatic access for agents." "What Intercom did with Fin was the playbook: go headless, just an API. Reuse the same data, the same customers, the same key features, but expose them as APIs."

Welcome Salesforce Headless 360: No Browser Required! Our API is the UI. Entire Salesforce & Agentforce & Slack platforms are now exposed as APIs, MCP, & CLI. All AI agents can access data, workflows, and tasks directly in Slack, Voice, or anywhere else with Salesforce Headless 360. Faster builds, agentic everything. 🚀 #Salesforce# #Agentforce# #AI#

SpaceX created over 4,400 millionaires today, and many of them are regular working people. They are not executives or founders, they are welders, technicians, machinists, and launch crew, the people who showed up every day and built the rockets with their hands. Around 400 of them are sitting on stakes worth over $100 million each. For context, Google's IPO created roughly 1,000 millionaires. Facebook's created around the same. SpaceX is doing more than four times both of them in a single day. Juan Hernandez is one of them.