Blog
Guides, tutorials, and real-world workflows for composable document and image processing.
The Hidden Failure Modes of PDF Processing
PDF processing breaks in ways demos hide: scans, malformed files, layout traps, partial failures, and downstream assumptions.
MCP vs REST APIs: When Agents Should Call Tools and When Your Code Should
A practical guide to choosing MCP or REST APIs for AI workflows, production pipelines, prototyping, authentication, and operational control.
Document Automation in n8n: Build the Workflow, Not Just the OCR Step
A practical architecture guide for n8n document automation workflows: intake, extraction, confidence routing, generated outputs, and fewer vendors.
How Agencies Can Productize Document Processing Across Clients
Turn custom document automation projects into a repeatable agency product: intake, schemas, review, outputs, pricing, and operations.
Building Reliable File Processing Pipelines without Glue Code
A practical architecture framework for file processing pipelines: typed outputs, failure boundaries, retries, observability, and fewer integration seams.
How to Route Low-Confidence Document Fields to Human Review in n8n
Build an n8n review branch for low-confidence document fields so uncertain values get checked before they update downstream systems.
Why n8n Workflows Break When Every Step Uses a Different Vendor
Why multi-vendor n8n workflows fail in production: credentials, billing, retries, data shapes, binary files, and operational ownership.
How Our Document Ingestion Pipeline Turns Files into LLM-Ready Markdown
A technical deep dive into parsing PDFs, Office files, emails, images, and websites into clean markdown for extraction and RAG.
RAG from Public Documentation Websites: Robots.txt, Terms, Retention, and Attribution
Public docs are tempting RAG sources. Before you ingest them, review robots.txt, terms, source attribution, retention, and update strategy.
Why We Rebuilt Iteration Layer in Elixir
AI infrastructure started looking less like a web app and more like a distributed system, so we rebuilt Iteration Layer in Elixir.
Human in the Loop: Using Confidence Scores to Build Reliable Document Extraction
Fully automated document extraction fails without human oversight. Per-field confidence scores let you automate the obvious cases and route uncertain ones for human review.
AI and the EU: Why GDPR and AI Act Compliance Matter for Automated Document Processing
A practical overview of how GDPR and the EU AI Act affect automated document extraction and generation, and what zero-retention EU-hosted processing means for compliance.