# 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

### 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

### 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