Guides

Plain answers to the questions people actually ask about working with AI, written from work that happened on screen.

• How to find a gap in the market before you build anything — Blue Ocean Strategy is a framework for finding markets with no competition instead of fighting for share in crowded ones. What melis.ai adds is how to use it with AI to do the research before you commit.
• How to find the work that is actually yours to do — Two old ideas — one Greek, one Japanese — can help you name the work that fits. Neither will make the decision for you. That's the point.
• How to stop AI giving you generic answers about your own life — AI gives you generic answers because it is starting from zero. The fix is not a better prompt — it is two files that every AI session reads before it says anything.
• The difference between AI getting facts wrong and AI telling you what you want to hear — AI has two distinct failure modes and they need different fixes. One is making things up. The other is agreeing with you.
• Why a folder on your computer beats every life management app — Most life management tools solve the wrong problem. The system that actually works is one your AI reads directly — no import, no sync, no third-party app between you and your own information.
• How to know if your business idea is any good before you spend money — The fastest validation is not a survey or a focus group. It is a visual concept shown to five people in person before you build a single real thing.
• The five levels of AI leverage, and why most people stop at two — There are five distinct levels of working with AI, and most people are at level two. The difference between levels is not a better prompt — it is a different relationship with the machine.
• The three horizons: improve it, redesign it, or start again — When AI enters a business or a workflow, there are three distinct responses available. Choosing the wrong one does not just waste money — it means building the wrong thing at the wrong time.
• Which work is actually safe from AI — and why — The doom answer and the reassurance answer are both wrong. The question worth asking is not whether AI will replace work — it is which part of what you do it cannot reach.
• How to use AI to turn dense information into something a person can act on — Most documents bury what matters in what doesn't. AI can pull those things apart — if you tell it what matters.
• What your subscriptions are actually costing you — Your monthly total is wrong. Annual billing and the five-year view together make subscriptions far more expensive than any single month suggests.
• What an AI agent actually is — and when you do not need one — An AI agent is not a smarter chatbot. It is a system that holds a job, uses tools to complete it, and reports back when it needs a decision. You probably do not need one yet, and this page explains why that is fine.
• Why AI gives you generic answers — Generic questions produce generic answers. The fix is not a better prompt — it is giving the AI enough context to reason, rather than guess.
• Why long AI conversations get expensive — and slower — Every message you add to an existing thread costs more than the last. On a metered plan, that cost is money. On a flat monthly plan, it is speed and quality instead.
• You have an idea for an app but cannot code — here is what changed — The constraint that stopped most people from building used to be code. It is not any more, and what the first move looks like has changed completely.