Corbits

Just using Artificial Intelligence or using Artificial Intelligence intelligently? Spend less on API and yield more ROI with these tips. https://lnkd.in/eENP-9AU

Just using Artificial Intelligence or using Artificial Intelligence intelligently? Spend less on API and yield more ROI with these tips. https://lnkd.in/eENP-9AU

Multi-agent systems don't fail because of bad agents. They fail at the handoffs. Every time one agent passes work to another, you're making a decision: what state does the next agent need to do its job? Most teams treat this like message passing — just send the output and move on. That's where things go wrong. Context loss shows up in six predictable ways: → Goal loss: the agent optimizes locally and loses the larger purpose → Evidence loss: conclusions arrive unsupported, with no way to verify accuracy → Reasoning loss: the receiving agent gets the answer but not the why → Uncertainty loss: a guess gets passed down the chain as settled fact → Constraint loss: budget, compliance, and scope limits disappear mid-workflow → Authority loss: agents make decisions they were never authorized to make The fix isn't more text. It's structured state. Each handoff should pass exactly what the next step needs: the original goal, decisions made and why, supporting evidence, active assumptions, remaining uncertainty, binding constraints, and what the receiving agent is actually expected to do. Handoffs are data transformations. Not story time. We wrote up the full breakdown — including a state template you can adapt for your own workflows — on the Corbits blog. https://lnkd.in/eS7vZ7nH

The largest software providers rely on Faremeter to serve their agent customers We're excited to share our journey in bringing Solana's PAY.SH portal to life. Nearly a year ago Coinbase and the Solana Foundation asked our team for help bringing x402 payments to Solana. Since then our open-source payments framework Faremeter powers ~65% of the traffic on the network. It also is the only unified client to simultaneously support other types of machine payment standards like MPP, etc. Importantly more than 60+ teams rely on Faremeter to enable their agents to make and accept payments now the Solana Foundation does too for all their Tier 1 partners. To put it concretely the largest software providers on this planet now rely on Faremeter to serve their agent customers: - eCommerce ( Shopify BigCommerce Amazon Klaviyo EasyPost ) - Data & Intelligence ( Apollo Exa Dune Nansen Massive ) - Communications ( Twilio SendGrid Slack Linear Cloudflare ) Our creed is to build open-source software to capable of powering the frontier of agent native teams. If you're looking for enterprise level service for your agent operations, please shoot us a message.

We have spent a lot of time with agents the last 2 years. While most may know us for our work around machine payments with Faremeter, our core focus has always been building solutions for agentic businesses. For the last 9 months we have had over 100 conversations with teams building at the frontier of their respective industries. Payments, analytics, healthcare, sustainability, everyone is excited about AI. And they're also scared they are falling behind. Founders are buying Mac Minis for personal projects while simultaneously hiring (or tasking) people to "integrated AI into the business". Opening Twitter is a rabbit-hole that will surely leave you thinking you're falling behind. The news will tell you AI marks the end of days. A16Z and YC have both made public statements, the future is AI. Going so far as to define new workflows and roles. At Corbits, we have a different view. Agent Operations is more than a role, it's a business unit. Nearly every conversation with decision makers was grounded in one of two truths. - The company had recently hired a "Head of AI" who was responsible for creating a 2-5 year plan for rolling out AI solutions. - The company was planning on hiring a "Head of AI" in the next 6 months who will be responsible for creating a 2-5 year plan for rolling out AI solutions. This is not an "if" or a "when", it's a now. Importantly, these hires are all director level with the mission to educate the business and, putting it simply, "create agents." Drawing parallels to other times we've seen this happen, DevOps, RevOps, ... it's become clear to us AgentOps is bigger than just (one) role. AgentOps will touch every part of the business. An interesting element to AI adoption too is that it is not isolated to any one particular part of the business. It's safe to say, everyone is asking to use AI. Finance, Engineering, Marketing, Sales... This period of technology is unique because it marks a unique change in our relationship with work. Because of this it's imperative to recognize that AI will exist everywhere. In fact, it's a safe bet to assume every unit in your business already has an AI champion. Atal breaks down what an Agent Operator might look like in your business. Taking this a step further, there will be Agent Operators in every part of your business. Ultimately, everyone will become an Agent Operator, knowingly or unknowingly. AgentOps is as much about education as it is about protection. The solutions we are building at Corbits are largely focused around giving teams the platforms and tools they need to succeed. Governance, provenance, auditing, communication, security, regulation -- we build it all. And while teams may struggle with finding a "the right solution" for them, we're convinced the right tools will exist for every team.

A neoteam is a modern team where humans and AI agents work side by side - governed, auditable, and built to scale. It’s the new word for organizations that need to deploy, manage, and prove what their colleagues and agents are doing. AI is hard to talk about. Whether you're an industry veteran or someone just starting to explore agents, there's something incredibly surreal about describing your work. - My agent is working right now, even when I sleep! - All our reports are built by Sally our OpenClaw! There's very clearly a shift in the workplace. And while there are bigger questions worth answering (what will happen to the workforce?), undoubtedly the daily actions of teams around the world are leading to new teammates and colleagues being created seemingly out of thin air. Your own definition of what an agent is may be different from ours or even your colleagues, but without question we can all agree there's something "agent-like" in play that wasn't there before. Team structures are evolving. Well maybe. Okay, this might be a bit of a stretch, but Dan below astutely covers the two most common paths we see our customers and teams we have the pleasure of working with deploying agents at early stages of their agentic transformations. We wrote in another article about the impact we think Agent Operations as a new business unit will play. Here we'll focus on neoteams specifically. Individual agents or central agents are introduced to a team and inherently the team dynamic changes. There's now an inherited reliance on an agent. How much reliance is not the point. The fact that it exists in any capacity is. We aren't in the business of dictating which positions may be replaced, but we do know workflows are being replaced. As neoteams play and develop their own systems for MEMORY, SOUL, and whatever anthropomorphic markdown files come next, inadvertently the workflows will become uniquely tailored to the teams using them. Neoteam foundations matter. Organizations will build their own core libraries for their teams. Think general purpose skills, organization wide knowledge/ways of working, best practices, etc. Internally we have a multitude of skills that enable any of our colleagues to conduct first round PR reviews, ship content, build apps, and understand our products/repos regardless of their expertise. When we share these with customers we work with the light bulbs go off. Suddenly the idea that everyone in the organization can have their own executive assistant is really exciting. What's particular is how these libraries federate across teams. The same executive assistant or content writer can evolve across engineering, people, and finance teams to best serve their needs. Interestingly, with platforms like Interchange, improvements by one team can be quickly deployed across the entire organization with little friction. One team's lesson is a lesson learned by every human and agent. Your team is a Neoteam.

Machine payments are evolving once again. The future of agentic commerce has a new flavor: Agent Payments Protocol (APP) by OKX We’re happy to serve as a Day 1 Partner working with the OKX and Solana Foundation teams to bring APP to Solana with Faremeter. https://lnkd.in/e8YsPevf Faremeter’s unique position as a universal payments framework allows it to act as a superset for these types of machine protocols. Paired with Flex, a new prepaid escrow program redefining payments on Solana, teams like OKX are able to have interoperability from the start. If you are an agent builder or a merchant interested in exploring APP on Solana, we encourage you to learn more about the protocol here: https://lnkd.in/e3Bd7gbf And start building with Faremeter today: docs.faremeter.xyz

The fastest x402 Marketplace + Discovery registry is now open-source. https://lnkd.in/eZqFAhHU Our DMs are open if you have any questions while building! Just Build Together.

The latest Faremeter release puts the super in superset for x402. If you're looking for the most compatible implementation to build machine payments with, look no further. This is it. https://lnkd.in/egdASetT

The Claude Code skill ecosystem passed over 5,700 skills on OpenClaw with 145K+ GitHub stars in just two weeks. Hosted API clones are spinning up. Desktop plugin support shipped. An investor watched a live demo of /last30days and lost his mind on camera. Distribution is happening in realtime. But monetization still seems super unclear. Right now, skill creators ship for free and hope for GitHub stars. The best ones get cloned into hosted services by other companies within days. There is no native payment layer - no way for a skill to charge for usage at the point of execution. One community member already connected the dots: x402 micropayments as the revenue model for skills. Every skill becomes a micro-business with one line of payment code. No API key setup for end users, no subscription management, no billing infrastructure. Just HTTP 402 — the browser-native payment status code that has waited 30 years for its moment. The skill economy is real. The app store moment is here. What is missing is the cash register. x402 was purpose-built for exactly this: frictionless micropayments for any digital service over HTTP. One line of code to accept digital dollars. The ecosystem that solves monetization first will own the next wave of AI-native distribution. We've built a skill internally that let's any agent discovery x402 enabled resources. If this feels applicable to you, we'd love to hear from you.