AI for Small Business: Where to Start Without Wasting Money
A practical guide to using AI in a small business: pick one repetitive task, keep a person in the loop, measure the result and expand only when it pays off.
A practical guide to using AI in a small business: pick one repetitive task, keep a person in the loop, measure the result and expand only when it pays off.
Learn five habits for working with AI coding agents: small scopes, written context, verification loops, reviewable diffs and clear permission boundaries.
2 min readAICoding agentsWorkflow
Compare retrieval-augmented generation with simply pasting documents into a long context window: cost, accuracy, freshness, citations and when each one fits.
1 min readAIEngineeringEvaluation
Build a small evaluation set from real examples, grade AI answers with rules instead of vibes, and catch regressions before users do. A practical guide.
2 min readAIEvaluationQuality
Where AI-assisted code review helps (edge cases, tests, consistency) and where humans must decide (design, security, product intent). A practical team workflow.
1 min readAICoding agentsEngineering
A practical prompt-writing checklist: goal, context, separated inputs, rules, output format, examples and a way to say you do not know. Treat prompts like code.
How to get dependable JSON from language models: define a schema, validate every response, retry with the error, keep prompts small and handle missing fields.
1 min readAIEngineeringPrompting
How prompt injection hijacks AI agents through emails, web pages and files, and the design rules that limit damage: least privilege, approvals and isolation.
Understand token-based AI pricing, why long conversations cost more than they seem, and how to cut spend with caching, smaller models and tighter context.
2 min readAICostEngineering
A pre-launch checklist for AI features: narrow scope, evaluation, fallbacks, privacy, monitoring and honest user communication. Go from demo to production.
2 min readAIEngineeringProduct
Practical notes on AI in Persian and right-to-left products: tokenization cost, mixed-direction text, numerals, date calendars, text normalization and fonts.
2 min readAIPersianLocalization