The Agentic Web
A Canvas for the Agentic Web
What happens when your knowledge base becomes the most powerful product in your organization? Everything changes.
This week, Andrej Karpathy—one of the most influential AI researchers in the world, co-founder of OpenAI, and former head of AI at Tesla—described a workflow that should sound familiar to anyone paying attention:
Ingest raw sources, compile them into a structured knowledge base, let AI agents maintain it, lint it, query it, and build on it.
The human rarely touches the knowledge base directly. It's the domain of the LLM. His conclusion: “I think there is room here for an incredible new product.”
He's describing something that goes far beyond personal research. The pattern—raw sources in, verified and structured knowledge out, agents operating on it continuously—is the same pattern every organization will need to adopt to compete on the agentic web.
Because the internet is changing. AI agents are everywhere—not in pilot programs, but in production. Cloudflare's CEO predicts bot traffic will exceed human traffic by 2027. And it's not just volume—it's capability:
- Policy-based agents are making decisions on behalf of organizations.
- Agent-to-agent payments are being piloted in walled gardens.
- New protocols for payments and task execution are emerging—x402, A2A, ACP, MPP, WebMCP.
This is the early internet all over again, only bigger and moving faster. But there's a fundamental difference: the first internet was built for humans. This one is being built for AI agents.
The web is becoming a surface that machines read, interpret, and act on autonomously—and the best builders of this generation are realizing the biggest opportunity ahead is to build infrastructure for agents—to empower humans with maximum leverage.
Today, most organizations are still sitting on a static website that was last updated months ago, with knowledge scattered across disconnected systems, and no idea what an AI agent says about them when someone asks.
Why Static Content Fails on the Agentic Web
For decades, a website was a brochure you published and occasionally refreshed. The audience was human. Humans call to double-check. Humans tolerate ambiguity. Humans forgive a page that feels slightly out of date.
Agents don't.
A static website fails on the agentic web because of three compounding problems:
Accuracy decay. The moment content is published, it begins to drift from the truth as products evolve, pricing and rates shift, and policies get revised—and agents will treat stale information as ground truth.
Structural illegibility. Agents don't browse, they parse—extracting meaning from structure, schema, and explicit facts. Structured content is up to 2.5x more likely to surface in AI-generated answers. Without it, agents skip you for a competitor whose data is machine-ready.
Narrative loss. When an AI agent is asked about your organization, it assembles an answer from whatever structured information it can find. If you haven't published your own narrative in a format agents can consume, someone else defines it for you.
A Knowledge Base Designed for Agent-Human Collaboration
What Karpathy built for personal research, organizations need at scale. Block just restructured their entire company around this idea—replacing layers of management with a structured knowledge base that gives every person and every agent the full context to act. The knowledge base isn't a back-office tool anymore. It's the operating system.
The problem is clear: when knowledge is scattered across documents, wikis, PDFs, and people's heads, agents waste cycles rediscovering context, humans become bottlenecks, and organizations repeat the same mistakes. A structured knowledge base changes what's possible:
Manual coordination → Autonomous workflows
Your processes live in PDFs, wikis, and tribal knowledge. People spend hours relaying context that agents could act on directly. A knowledge base designed for agents turns procedures into executable workflows—onboarding, compliance checks, support escalations—without a human routing every step.
Static presence → Always-on visibility
Your website gets updated quarterly. AI agents query your data daily. A static site means agents work with outdated or missing information—and recommend your competitors instead. An agent-ready knowledge base keeps your presence current, structured, and continuously available to every AI surface.
Stale content → Agent-governed sync
You update your pricing, your product changes, your policies evolve—but your website, help docs, and agent responses still reference last quarter's numbers. The same way AGENTS.md governs how agents behave in a codebase, your knowledge base needs governance that holds every agent accountable to ground truth.
Static policies → Living, breathing context
Policies change as products evolve, regulations shift, and incidents surface new risks. Today, keeping checks in sync requires humans to manually update every system. The best agent architectures are moving toward identity files—heartbeat.md, soul.md, identity.md—that give agents a living sense of who they are and how they should evolve. A knowledge base designed for agents makes this possible at organizational scale.
None of this removes humans from the equation—it puts them in the driver's seat. Agents surface what's drifted. Agents flag where context is missing. Agents propose what should change and generate new context. But humans verify, approve, and fill the gaps. The knowledge base becomes a living system where agents do the heavy lifting and humans maintain control—reviewing content before it's published, adding context where there are holes, and ensuring that what agents say on your behalf is what you actually mean.
That's what Senso builds.
Everything Senso generates is grounded in your verified knowledge base—a living, breathing system where AI agents and humans collaborate on a permission basis. Every fact traces back to a document. Every number is real. Every claim is auditable.
Driving into the Agentic Web
This is more than a tool. It's a control system, a shared, living canvas where your entire organization collaborates in real-time to shape how you appear, communicate, and operate across the agentic web.
Marketing paints the narrative. Operations keeps it accurate. Compliance verifies it against regulation. Product updates it as offerings evolve. Agents deliver it across every channel: text, voice, search, commerce. A multimodal environment where the boundaries between human and machine interaction disappear.
Your knowledge base is live. Your agents are aligned. Your content updates propagate in real-time across every surface. You're not maintaining a website anymore. You're operating at the speed of the internet itself, gaining leverage that was never possible when everything depended on humans clicking, reading, and deciding.
Every team member behind the wheel. Every agent an extension of your organization's intelligence. Moving faster. Seeing further. Compounding leverage with every piece of knowledge you verify and every agent you connect.
Connect your knowledge. Align your agents. Start driving.
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Saroop Bharwani is the CEO and founder of Senso, the context layer for AI agents (YC W24) — compile your raw sources into an agent-ready, verified knowledge base. Learn more at docs.senso.ai.