Guides on document conversion, RAG pipelines, knowledge bases, and getting clean, AI-ready Markdown out of anything.
No estimates. We took a real 50-page functional spec, measured the whole document against a single semantic retrieval, and counted the tokens. Here are the honest numbers.
Read moreA practical, end-to-end workflow for building software with AI coding agents that don't forget your requirements. Set up a project knowledge base once, and build against it.
Read moreAI coding tools are brilliant at writing code and terrible at remembering why. Here's how a persistent memory layer keeps your agent aligned to the spec — and cuts the tokens you waste re-pasting context.
Read moreGive Copilot's agent mode a searchable memory of your project docs. Here's the one-click (and manual) way to add the LLMtoMD MCP server to VS Code.
Read moreGive Cursor's AI your project docs as a searchable knowledge base. Here's the one-click (and manual) way to add the LLMtoMD MCP server to Cursor.
Read moreAdd your documents to Claude as a connector so you can search and ask across them in any chat. Here's the setup for Claude.ai, Claude Desktop, and the Claude API.
Read moreGive the Claude Code agent a persistent memory of your FRD and specs. One command adds the LLMtoMD MCP server — here's the full setup, plus how to share it with your repo.
Read moreLet Antigravity's agent reference your specs and design docs while it builds. Here's the exact MCP config — including the serverUrl quirk and why an API key is the reliable path.
Read moreMost RAG hallucinations aren't a model problem or a prompt problem — they start at ingestion, when your documents are turned into messy text. Here's the fix.
Read moreMCP is becoming the USB-C of AI — one standard way to plug tools and documents into any model. Here's what it is, why it matters, and how to use it.
Read moreYour company's knowledge is trapped in PDFs, decks, and recordings. Here's how to turn that scattered mess into one AI knowledge base your team can ask.
Read moreA RAG demo is cheap. Production-grade document ingestion is not. Here's an honest breakdown of what it actually costs to build vs. buy — and where teams underestimate.
Read moreYou picked a good base model and tuned carefully — and it still underperformed. The problem usually isn't the model. It's the corpus you trained it on.
Read moreBefore you send a contract or financial doc to an AI converter, run it through these 7 questions. The answers separate a safe vendor from a data leak.
Read moreConvert DOCX files to clean, AI-ready Markdown that keeps headings, lists, and tables intact — why it matters for LLMs and how to do it in seconds.
Read moreSlide decks hold real knowledge but are hard for AI to read. Here's how to convert PPTX into clean, structured Markdown your LLM can actually use.
Read moreA practical guide to converting PDFs into clean, AI-ready Markdown — why naive extraction fails, what good output looks like, and how to do it in seconds.
Read moreTurn meetings, calls, lectures, and podcasts into clean, timestamped Markdown your LLM can search and answer over — with speaker labels. Here's how.
Read moreChatGPT can open a PDF, but "open" and "understand" aren't the same thing. Here's what actually happens to your file — and how to get reliable answers.
Read moreAI can review contracts and filings at a speed no associate can match. The catch is accuracy and confidentiality. Here's how to get both right.
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