AgentNet @AgentNetHQ

Your website ranks on Google. So why might AI recommend your competitor instead? Traditional SEO still matters. But ranking in search doesn't guarantee a mention in an AI-generated answer. Being discoverable now means thinking beyond the search results page.

A beautiful website can still be difficult for AI to understand. That's the part of the AI search conversation more businesses need to hear. Design matters. SEO matters. But so does making your business understandable to the systems increasingly helping people discover it.

Your website might look great to people. But what does AI actually understand about your business? As AI changes how people discover businesses, websites need to evolve too. Here's what Machine-First web development means: geosites.ai/insights/what-… #MachineFirst #AISearch

new skill: REA (Reverse Engineer Anything)

The web is changing. Your website should be ready. Introducing GEOSites: modern websites designed for people, optimized for search, and structured for AI discovery. Websites built for what's next. geosites.ai

Over the past two weeks we've explored: • Trusted Context • Resolvers • Capsules • Provenance • The Machine Web This is just the beginning. 👉 agent-net.ai #AgentNet #AgenticAI

The future of AI isn't just larger models. 👉 It's trusted systems. 👉 Structured context. 👉 Interoperable infrastructure. Learn More: agent-net.ai #FutureOfAI #MachineWeb

The future of AI won't be built on ideas alone. It will be built through real-world testing, iteration, and implementation. 👉 agent-net.ai #AgenticAI #AIInfrastructure

Building infrastructure isn't flashy. But it's often what enables entire ecosystems to emerge. Learn More 👉 agent-net.ai #StartupLife #AgentNet

Trust begins with provenance. - Where did the information come from? - Can it be verified? 👉 agent-net.ai #AIInfrastructure #AgenticAI

Documents were built for people, not agents. ...What if information could also be built for agents? That's the idea behind capsules. 👉 agent-net.ai #AgenticAI #MachineWeb

The Machine Layer of the Web: AI agents need more than models—they need trusted, machine-readable context #AgentNet #MachineWeb That's what we're building. 👉 agent-net.ai

The web connected people. The next layer may connect agents. Learn More: agent-net.ai #MachineWeb #AgenticAI

Most business data was built for humans. The next generation of AI will require data shaped for machines. #DataShaping #AgenticAI agent-net.ai

Just met with one of our engineering leaders. Some takeaways about AI engineering best practices + more: 1) Spec writing and strong reading comprehension are two of the most valuable skills in ai engineers today. 2) Being hyper structured and opinionated in engineering workflows is how you get probabilistic models to behave deterministically when you want them to and also get models to spend tokens efficiently. 3) Creating a standardized schema/metadata on markdown files in your workflows allows you to make non-software tasks verifiable which allows you to close the agent loop more successfully. 4) One of the bigger behavioral changes in knowledge work is learning to thoughtfully structure/organize your files like good engineers have always done to get the least entropy from models. 5) Building a strong immune system around markdown files is important. As a workflow evolves and gets more reps it’s easy for specs to get bloated with conflicting guidance/unnecessary rules. Hermes agents solves this with a thin memory layer. There’s still a lot of optimization to be done with memory/markdown autophagy. 6) The key ingredients of our engineering process are CLI + deeply opinionated folder/file system + markdown metadata + coding agents + linear as source of truth. 7) Our mental model is always how can we make sure the agent has one way to do things and can validate its output.

The best AI systems won't just be smarter. They'll be better grounded. That's why infrastructure matters. #AgenticAI @TechArcLabs agent-net.ai

@AgentNetHQ @TechArcLabs So excited! 🚀🚀

We're excited and glad to partner with @AgentNetHQ 🚀 More to come!!

AgentNet @AgentNetHQ

4 months ago

Excited to announce a strategic partnership between AgentNet and @TechArcLabs Infrastructure + implementation. More to come... agent-net.ai/ecosystem/tech… #AgenticAI #Partnership

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Excited to announce a strategic partnership between AgentNet and @TechArcLabs Infrastructure + implementation. More to come... agent-net.ai/ecosystem/tech… #AgenticAI #Partnership

Search finds documents. Resolvers find facts. There's a difference. agent-net.ai #AgenticAI #MachineWeb