Knowledge base category
AI
31 practical guides in AI.
Build an AI Memory Store: User Isolation, Updates and Expiry
Test a Qdrant memory store with owner-scoped queries, updates, expiry and deletion. Includes Python code and explicit authentication limits.
AIEval-Driven Prompt Development: Define Success Before You Write the Prompt
Stop guessing if your LLM prompt is good. Write the tests first, then iterate until they pass. The eval-driven development workflow explained.
AIInterServer MCP Server: Endpoints, Access, and Connection Checks
Find InterServer MCP endpoint information, distinguish public and account access, and check availability and credentials before enabling automation.
AIContext Window Explained: What Happens When You Give an AI Too Much to Read
A practical breakdown of AI context windows, token counting, the lost-in-the-middle problem, and how to work within the limits.
AIAI Agent Memory: When to Use Profiles, History or Vector Search
Choose a practical AI memory design, separate retrieval from model knowledge, and plan ownership, correction, expiry and deletion tests.
AIVector Databases Explained: A Tested, Private Qdrant Lab
Understand vector search, exact filters and database trade-offs, then run a private Qdrant lab with tested Python examples and clear limits.
AIHands-On RAG Retrieval: Index Local Documents with Qdrant
Build and test local document retrieval with FastEmbed and Qdrant, token-bounded chunks, fresh indexes and source-labeled prompts.
AIOpenClaw vs AutoGPT vs LangChain vs n8n: Choosing an AI Workflow
Compare four approaches to AI automation by interface, maintenance, privacy, and licensing, with a practical checklist for evaluating a VPS deployment.
AIHow to Measure and Reduce AI Workflow Costs
Calculate AI task costs, evaluate model routing, and compare API use with self-hosting using a transparent worked example rather than promised savings.
AISelf-Host n8n on a VPS: A Private Lab and AI Workflow Checklist
Start a loopback-only n8n lab, plan a support-message classifier, and check data handling, model costs, failure routes, and production security.
AIPlan a Multi-Agent AI Workflow on a VPS
Design bounded AI workers with clear handoffs, resource limits, least privilege, data-flow checks, and approval for consequential hosting actions.
AIVibe Coding: Review and Deploy AI-Generated Code Safely
Use a testable development workflow for AI-generated code, including review, independent tests, staging, data handling, and rollback.