Blog
anyformat Journal.
Building the Infrastructure of Document Intelligence.
Thoughts on AI agents, document processing, and building reliable, privacy-first infrastructure for enterprise automation — plus product updates and company news from anyformat.
If You Can't Point to It, You Can't Trust It: Why Visual Grounding Is the Foundation of Auditable Document AI
Most document AI systems can't show where extracted values came from. Learn why visual grounding — linking every output to its exact source region — is the key to auditable, trustworthy document automation.
Beyond Accuracy: The Document AI Metrics That Actually Predict Production Success
Accuracy benchmarks hide silent failures in document processing. Learn the 5 metrics — including confidence calibration, straight-through processing rate, and silent failure rate — that separate production-grade IDP systems from demo-ware.
The Paper Paradox: Why Document AI Still Hasn't Replaced Manual Work
61% of document processing workflows still involve paper. 66% of new projects replace failed ones. The problem isn't the AI. It's trust.
Delve Got Caught Faking Compliance. We Chose the Slow Way on Purpose.
The Delve scandal is exposing what happens when compliance becomes a product to ship fast rather than a promise to keep. At anyformat, we took the opposite path, and it's taking us months. On purpose.
OpenClaw Is Exciting. Your Documents Deserve Better Than Excitement.
The viral AI agent reveals what happens when autonomy outpaces architecture, and why document intelligence demands a fundamentally different approach.
AI Agents Don't Kill Document Processing. They Make It Inevitable.
There's a narrative that agents and LLMs will make documents obsolete. I think that's fundamentally wrong. Here's why document intelligence becomes the substrate layer for every autonomous system.
The End of 'We'll Build It In-House': 5 Document Processing Predictions for 2026
Why this is the year enterprises stop reinventing the wheel on document infrastructure. Buy vs. build finally tips—for non-core problems.
Making AI Data Extractions Trustworthy
This piece introduces a method for scoring the confidence of AI-generated structured outputs, like JSON
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Model Context Protocol (MCP) and the AI-Native Era of Unstructured Data
MCP is not “just another integration standard.” It fundamentally changes how AI interacts with unstructured data, turning documents into agentic conversations.
Why GPT Alone Won’t Cut It for Real Document Extraction
LLMs are powerful—but not enough for production-grade document extraction. Here’s why real pipelines need structure-aware, multi-stage processing.
Cómo desbloquear el valor de los datos no estructurados
Las empresas acumulan datos sin usar. La IA Generativa convierte ese caos en innovación, eficiencia y ventaja competitiva.
Una Nueva Era: Los Nobel de Hopfield, Hinton y Hassabis y el Futuro de la Inteligencia Híbrida
Los Nobel de Física y Química 2024 reconocen el impacto histórico de la IA en la ciencia y la industria, inaugurando una era de colaboración humano-máquina.