Topic
Context: What the Model Can Actually See
A model can only reason over what is in front of it. Context is that material, the context window is its size limit, and deciding what to put there is most of what separates a useful answer from a generic one. These guides cover how context works and how to choose it deliberately.
Chat with your documents
Chatting with your documents means uploading your files and asking questions in plain language. Tatsulok answers with citations to the exact source, privately.
Read the article
Private RAG Guide
RAG (retrieval-augmented generation) lets AI search your internal documents and answer with citations to the exact source. Learn how private RAG and verification work.
Read the article
What is AI context
AI context is the background information, your documents, history, and instructions, that a model reads to produce relevant, accurate answers. Here is how it works.
Read the article
AI context window
An AI context window is the maximum amount of text, measured in tokens, a model can consider at once. Here is what it means for working with long documents.
Read the article
Context engineering vs. RAG
Context engineering is the practice of curating everything an AI sees at answer time; RAG is one technique within it. Here is how they relate and when each matters.
Read the article
Give AI the right context
AI forgets because each chat starts blank and only sees what fits its context window. The fix: give it persistent, retrievable, cited context from your own documents.
Read the article
Free Legal Resources
Find free Philippine legal research sources for laws, cases, court rules, bills, and agency issuances, with clear guidance on authority and verification.
Read the article
Context rot
Context rot is the accuracy drop language models suffer as input grows, long before the window fills. At 32,000 tokens, 11 of 13 models scored under half.
Read the article
Prompts that force citations
Five prompt elements that force AI to show its evidence: scope the sources, demand a citation per claim, allow honest gaps, set a cutoff, fix the output shape. With a template you can copy today.
Read the article
AI source laundering
AI answers dress every source in the same confident prose, so a content farm reads like a journal. How source laundering works, and the three-question source check that undoes it.
Read the article
Japan AI search habits
In a 2026 five-country survey, 36.7% of Japanese respondents scroll past the AI Overview to pick sources themselves, the highest rate measured. The same data shows the lowest AI adoption. What both numbers mean.
Read the article