Engineering Blog & Teardowns
In-depth technical papers, empirical benchmarks, and security research on AI web scraping, vector RAG retrieval, prompt injection defense, and fine-tuning dataset generation.
Detecting Zero-Font & Hidden CSS Indirect Prompt Injections in RAG Crawlers
How zero-font styles, transparent text, and Unicode NFKC homoglyph substitutions exploit RAG pipelines, and how deterministic 4-pass sanitization blocks them.
Header Ancestry vs. Fixed-Size Chunking: A 34% Improvement in Retrieval Precision
Evaluating vector retrieval accuracy across 1,000 developer documentation queries using hierarchical section ancestry tracking versus fixed token windows.
Generating 5,000 DPO Q&A Fine-Tuning Pairs from Web Docs in 10 Minutes
Automating multi-turn instruction dataset curation in OpenAI, Alpaca, ShareGPT, and Direct Preference Optimization (DPO) formats from live web documentation.
Open Benchmark Report: Ife vs. Firecrawl vs. Jina AI vs. Tavily
Comprehensive comparative analysis evaluating latency, rate limit thresholds, RAG precision, and remote MCP tool capabilities across leading Web AI APIs.
How Answer Engines Choose Which Brands to Cite
How Perplexity, ChatGPT Search, and Claude index sources, and how to optimize your technical documentation for Answer Engine Optimization (AEO).
Stripping DOM Noise from Hostile Web Pages and PDFs
Extracting clean, token-optimized Markdown from complex HTML layouts, cookie banners, and multi-page PDFs without sacrificing table structures.
Connecting AI IDE Agents with Remote MCP and OAuth 2.1
Why Streamable HTTP/SSE and OAuth 2.1 replace local stdio subprocesses for team-wide AI agent tools in Cursor, Claude Desktop, and OpenCode CLI.
Cutting LLM API Costs by 60% with Pre-Embedding Data Cleanup
How pre-embedding semantic filtering and boilerplate removal lower monthly LLM context prefill costs without dropping model performance.
Finding Out Why Answer Engines Cite Your Competitor Instead of You
GEO competitor analysis measures how answer engines evaluate your site and your competitor's side by side across six structural dimensions that determine citation probability.