# Autessa Technical Blog > A technical blog series on AI infrastructure, agent evaluation, vision-based automation, > and the architecture of the Autessa platform. All posts are available both as HTML pages at https://autessa.com/blog/ and as raw markdown here. ## Posts ### What Is Customer Zero, and Why Do the Best Platform Companies Practice It? Customer zero means running your business on the product you sell — not as a test, but as the system of record. A look at where the idea came from and why it shapes the best platform companies. - HTML: https://autessa.com/blog/customer-zero-concept/ - Markdown: https://autessa.com/blog-md/customer-zero-concept.md - Topic: Philosophy - Reading time: 9 min ### How Autessa Runs Its Entire Business on Autessa We are our own first customer. Every conversation, every candidate, every deal, and every decision runs on the same platform we sell — including the moments that commitment gets tested. - HTML: https://autessa.com/blog/autessa-customer-zero/ - Markdown: https://autessa.com/blog-md/autessa-customer-zero.md - Topic: Philosophy - Products discussed: AutessaDB, Autessa Prism, Autessa Lens, Autessa Forge - Reading time: 10 min ### Why Do AI Projects End Up With So Many Infrastructure Systems? How AI infrastructure sprawl happens, what it actually costs, and why convergence beats consolidation. - HTML: https://autessa.com/blog/ai-infrastructure-sprawl/ - Markdown: https://autessa.com/blog-md/ai-infrastructure-sprawl.md - Topic: Infrastructure - Products discussed: AutessaDB - Reading time: 9 min ### The Human Side of AI Governance in Washington's Public Sector At the Washington IT Leadership Forum, the most important conversation about AI governance did not happen during the formal session. It happened over lunch — and it was about people, not policy. - HTML: https://autessa.com/blog/human-side-ai-governance-washington/ - Markdown: https://autessa.com/blog-md/human-side-ai-governance-washington.md - Topic: Government - Reading time: 9 min ### How Should You Evaluate AI Agents in Production? Why spot-checking fails, which four dimensions actually matter, and how continuous evaluation catches regressions before your users do. - HTML: https://autessa.com/blog/evaluating-ai-agents-in-production/ - Markdown: https://autessa.com/blog-md/evaluating-ai-agents-in-production.md - Topic: Evaluation - Products discussed: Autessa Prism - Reading time: 10 min ### Why Do Automated UI Workflows Break When an Application Updates? Traditional RPA sees the DOM. Humans see the screen. That gap is why your automations break every time a vendor ships a redesign. - HTML: https://autessa.com/blog/vision-based-ui-automation/ - Markdown: https://autessa.com/blog-md/vision-based-ui-automation.md - Topic: Automation - Products discussed: Autessa Lens - Reading time: 8 min ### Why Do AI Agents Become Brittle Workflow Engines Instead of Intelligent Systems? Most agent architectures devolve into decision trees with an LLM in the middle. Here's why, and what a capability-based alternative looks like. - HTML: https://autessa.com/blog/capability-based-ai-agents/ - Markdown: https://autessa.com/blog-md/capability-based-ai-agents.md - Topic: Agent Architecture - Products discussed: Autessa Agents - Reading time: 8 min ### Why Is the Internal Tools Backlog Always Six Months Long? Engineering cannot keep up with internal tool demand. People build shadow IT to cope. AI-generated tooling changes the math. - HTML: https://autessa.com/blog/internal-tools-backlog/ - Markdown: https://autessa.com/blog-md/internal-tools-backlog.md - Topic: Internal Tools - Products discussed: Autessa Forge - Reading time: 8 min ### Why Do Internal AI Applications Stop Working After Six Months? AI applications do not crash. They drift. Here's how gradual degradation erodes trust, and what it takes to keep AI tools aligned with a changing business. - HTML: https://autessa.com/blog/ai-application-drift/ - Markdown: https://autessa.com/blog-md/ai-application-drift.md - Topic: Operations - Products discussed: Autessa Prism, Autessa Forge - Reading time: 8 min ### How Do You Secure AI Application Data When It Is Spread Across Multiple Systems? The real security risk in AI applications is not in any single system. It lives in the seams between four. - HTML: https://autessa.com/blog/securing-ai-data-across-systems/ - Markdown: https://autessa.com/blog-md/securing-ai-data-across-systems.md - Topic: Security - Products discussed: AutessaDB, Autessa Forge - Reading time: 9 min ### Why Do AI Agents Forget Everything Between Conversations, and Why Can They Not Search Your Files Properly? Most agent limitations are not model limitations. They are memory limitations. Here's what unified dynamic and static memory unlocks. - HTML: https://autessa.com/blog/unified-agent-memory/ - Markdown: https://autessa.com/blog-md/unified-agent-memory.md - Topic: Agent Memory - Products discussed: AutessaDB, Autessa Agents - Reading time: 11 min ### Why MCP Is Not Enough: The Capability Layer Every Enterprise AI Agent Needs MCP solves the integration problem. It does not solve the authorization problem. Here is the three-layer architecture that makes AI agents safe to deploy at scale. - HTML: https://autessa.com/blog/mcp-capability-layer/ - Markdown: https://autessa.com/blog-md/mcp-capability-layer.md - Topic: Agent Architecture - Products discussed: Autessa Agents, Autessa Forge - Reading time: 6 min ### Build vs. Buy for Government AI: Why the Smartest Agencies Are Choosing Both The old build-versus-buy debate assumed agencies had to trade control for safety. A platform model lets government build the applications its mission requires on top of inherited governance, observability, and recoverability. - HTML: https://autessa.com/blog/build-vs-buy-gov-ai/ - Markdown: https://autessa.com/blog-md/build-vs-buy-gov-ai.md - Topic: Government - Products discussed: Autessa Agents, Autessa Forge, Autessa Prism - Reading time: 12 min