AI Knowledge Base
Practical articles on prompt engineering, RAG, model selection, LLM cost control and GEO — written by AI 工作術 (Pandora AI, FreeCo Co., Ltd.) from actually operating AI products, updated several times a week.
- AI for Manufacturing: Quoting, Scheduling, and Quality Reports(2026-09-11)— Most valuable AI in a small factory lives in the office, not on the line. How to
- How to Choose a Domain: .com, Country Codes, and Brand Protection(2026-09-11)— A domain is your cheapest digital asset and the hardest to replace. How to pick
- AI for Logistics: Anomaly Alerts, Picking, and Routing(2026-09-11)— Most warehouses should start AI with shipment anomaly alerts, not routing. Here
- Subdomain vs Subfolder: Where Your Blog and Second Brand Should Live(2026-09-11)— Subfolder or subdomain for your blog, docs, or second brand? Here's the default
- AI for Accounting: Invoice Capture and Anomaly Detection Done Right(2026-09-11)— Where AI actually helps in accounting: reading invoices, categorizing transactio
- AI for HR: Resume Screening and Internal Q&A Done Right(2026-09-11)— Where AI actually pays off in HR: drafting job descriptions, structuring resumes
- AI Customer Support Tiers: Bots Take 80%, Humans Take 20%(2026-09-11)— Full automation fails, full human support wastes money. The three-tier AI suppor
- AI for Education: Question Banks, Grading, and Personalized Practice(2026-09-11)— How tutoring centers and corporate trainers use AI for question generation, firs
- AI Tool Selection: Subscribe, Buy a SaaS, or Build on the API?(2026-09-11)— AI spend comes in three tiers: general subscriptions, vertical SaaS, and custom
- No-Code AI Limits: What It Does Well and Where It Breaks(2026-09-11)— No-code AI tools are the cheapest way to test an idea and a risky way to run one
- Why AI Projects Fail: The 5 Deaths We See Over and Over(2026-09-10)— AI projects rarely die of bad engineering. They die of fuzzy goals, dirty data,
- AI Literacy Training for Employees: Why It Beats Buying Tools(2026-09-08)— Your team has AI licenses nobody uses. Here is how we built real AI literacy ins
- AI Agent vs Chatbot: One Talks, One Gets Things Done(2026-09-07)— Chatbots answer questions. Agents call tools, plan steps, and take real actions.
- What Is RAG? Retrieval-Augmented Generation, Explained Simply(2026-09-07)— RAG makes AI look up your documents before answering, so it stops inventing fact
- What Is GEO? Generative Engine Optimization Explained(2026-09-07)— GEO (Generative Engine Optimization) gets ChatGPT, Claude, and Perplexity to cit
- Prompt Engineering Basics: 4 Elements That Fix Bad AI Output(2026-09-07)— Eight times out of ten, bad AI output is a prompt problem. Learn the four elemen
- llms.txt Guide: How to Write One AI Engines Can Actually Use(2026-09-07)— llms.txt is a Markdown file that tells AI models what your site is about. Full s
- LLM Evaluation: How to Test AI Output Before You Ship It(2026-09-07)— LLM evaluation without an academic framework: a 30-case test set, blind review p
- LLM Cost Control: 4 Tactics That Cut Our API Bill in Half(2026-09-07)— LLM cost control from a team that pays its own API bills: model tiering, prompt
- Fine-Tuning vs RAG: How to Choose (Most Teams Need RAG)(2026-09-07)— Fine-tuning teaches a model how to speak; RAG teaches it what to say. A founder'
- E-E-A-T Explained: What It Really Is and How to Build It(2026-09-07)— E-E-A-T is not a ranking score — it's Google's definition of trustworthy content
- Claude AI Tutorial: Complete Beginner's Guide With 15 Real Tasks(2026-09-07)— Learn Claude from zero: setup in three minutes, free vs Pro advice, the five fea
- ChatGPT vs Claude vs Gemini (2026): Which AI Should You Pay For?(2026-09-07)— We use all three daily to run an AI tool platform. An honest 2026 comparison of
- ChatGPT Tutorial for Beginners: Setup, Free vs Paid, 12 Real Tasks(2026-09-07)— A no-hype ChatGPT tutorial for beginners: sign up in minutes, learn when the fre
- AI Hallucination Guardrails: The 4-Layer Defense We Run in Production(2026-09-07)— AI hallucination guardrails that work in production: retrieval grounding, output