Reading time: 5 minutes
🗞️In this edition
🏗️ TrueFoundry is taking over - and there's a $10,000 reason to pay attention
📰 The Tokens Or Humans Dilemma
📰 Zuckerberg Just Bet Meta On This Next Move
🛠️ Top AI tools this week
We Handed This Edition to TrueFoundry. Here's Why.
Every week, we cover the tools and companies pushing AI forward. Occasionally, one of them earns the whole issue.
TrueFoundry is the enterprise AI platform that teams at NVIDIA, Mastercard, Riot Games, Automation Anywhere, and Aviva use to deploy agents, govern MCP servers, and run LLMs in production. On their own cloud. On their own terms. No data leaves. No black boxes. Just AI that actually works at scale.
We gave them this edition because the problem they're solving is the one most of our readers are quietly running into right now. Agents that work in demos and fall apart in production.
If you're building anything serious with AI, the next few minutes are worth your time.
Starting with this, which kicks off in 48 hours:
Anyone can demo an agent. Slack responds. GitHub commits. Jira updates. The room is impressive.
Then real users show up. Load spikes. An MCP server times out. The model hallucinates a permission it doesn't have. Context gets lost halfway through a multi-step task. And everything that looked polished in the demo starts quietly breaking.
This is where most agents die - not from bad ideas, but from infrastructure that was never built to survive contact with the real world.
TrueFoundry's Resilient Agents Hackathon is built for exactly this. June 1–7. $10,000 in prizes. One challenge: build an agent that doesn't just work - it survives.
Your agent needs to handle:
Failures and recovery - what happens when a tool call fails at step 4 of 7
MCP integrations - connecting to real enterprise tools with real permissions
Memory and orchestration - context that persists across sessions and agents
Observability and governance - you can see everything it does, and prove it
Real production load - not a demo environment, actual scale
If you're building with agents, this is the challenge that separates builders from engineers. The skills you develop here - resilience, governance, MCP integration - are exactly what production AI systems are missing right now.
It starts in 48 hours. Registration is free.
♨️News – CFOs at major U.S. companies are facing a new trade-off: tokens or humans. Enterprise AI budgets that were meant to last a year are being burned through in one to two months, and leadership teams are now openly comparing the cost of buying more AI capacity against the cost of hiring people.
👨💻Fast facts –
Annual enterprise AI budgets are getting exhausted in one to two months, according to Glean CEO Arvind Jain.
Each new frontier model release is roughly 2x more expensive per token than the one it replaced.
95% of enterprise AI work still runs on the priciest frontier models, even for simple tasks.
For the first time in history, technology costs roughly the same as labor inside the Fortune 500.
Enterprises have moved through three phases in a year: board pressure, tokenmaxxing, and now reckoning.
🤓Open Tools POV – This is the most honest sentence in the AI era: tokens or humans. The decision is being made every day in every boardroom, and the answer is already visible in the hiring freezes spreading across the Fortune 500. The substitution isn't theoretical anymore, it's the operating plan.
♨️News – Meta is once again trying to prove it can make money doing something other than selling ads. Mark Zuckerberg is betting AI will succeed where Libra, Workplace, Portal, and the Metaverse all failed, launching paid subscription tiers for Meta AI, Instagram, Facebook, and WhatsApp while floating a cloud business on the side.
👨💻Fast facts –
Meta AI is testing two subscription tiers in Singapore, Guatemala, and Bolivia.
Premium subscription plans are also rolling out for Instagram, Facebook, and WhatsApp.
97% of Meta's 2024 revenue still came from digital advertising.
Reality Labs has shifted resources from VR toward AI-powered smart glasses with EssilorLuxottica.
🤓Open Tools POV – Meta has tried and failed to build revenue beyond ads for 20 years. The AI Buffer is coming for the interruption economy, and 97% of Meta's revenue depends on interruption. This isn't ambition, it's survival theater, and Zuckerberg just bet the company on outgrowing his own DNA.
Most people using AI every day have no idea what's happening underneath it at the companies actually running on it.
I sat down with Sai Krishna, who works directly with Fortune 500 companies at TrueFoundry helping them deploy AI systems at scale. Not POCs. Not demos. Real production systems with real consequences when things go wrong.
We covered a lot of ground. Why enterprises are past the ChatGPT phase and now stuck trying to prove ROI. What governance actually means and why Uber's CTO publicly admitted they blew their entire AI budget for the year. How MCP went from a niche protocol to something every serious AI team is now trying to figure out how to govern. Why managing multiple models is no longer optional. And the number one mistake Sai sees companies making right now that they won't realize is a problem until it's too late (hint: it's about data, and almost nobody is getting it right).
One line from the conversation that stuck with me: "If you do not want to end up in a situation where your budget is gone for the rest of the year and you're sitting thinking about what to do, you want governance in place from day one."
Worth a full watch if you are building anything with AI seriously right now.
Your agents connect to Slack, GitHub, Jira, and dozens of MCP servers.
Then come the problems: fragmented auth, unclear permissions, no visibility, and security teams asking questions.
TrueFoundry's MCP Gateway gives you one secure layer for authentication, access control, observability, and governance across every MCP server.
Centralized MCP discovery
Role-based permissions
Full audit trails
Runs inside your own cloud
Build AI agents. Not infrastructure.
TrueFoundry — The enterprise platform for teams that have moved past demos. Deploy any agent, govern every MCP connection, and route across 250+ LLMs — all inside your own cloud. NVIDIA, Aviva, and Automation Anywhere use it to run AI at scale. You probably should too.
Chat with Data — Skip the analyst, skip the SQL. Chat With Data turns any dataset into a conversation.
Fluig AI — Automate approvals, processes, and compliance workflows across your entire enterprise with AI.
Pinbot — A private AI bookmark manager that summarizes, tags, and searches your saved pages offline.
Until Next Time
That's the TrueFoundry edition. If one thing sticks: the teams winning with AI in 2026 aren't the ones with the best models. They're the ones who got the infrastructure right first.
The hackathon is a rare chance to actually build that muscle. June 1–7. Free to join. $10,000 in prizes.
See you next week.
– The OpenTools Team
Interested in featuring your services with us? Email us at [email protected] |
