◌ Everyday lens
AI in everyday life
Use AI without losing your privacy, judgment, or voice.
9 landmarks45 min0/9 explored
Begin trail →GOAL-BASED TRAILS
Start with what
you want to do.
Trails cross multiple rings. You can leave a trail, change your lens, or explore a connected idea at any time.
WHAT THIS ISA trail is a set of landmarks in a deliberate order, aimed at one goal — with a note on why each step follows the last. See the legend
◌ Everyday lens
Ask for something useful
Move from vague prompts to bounded, inspectable work.
9 landmarks52 min0/9 explored
Begin trail →□ Work lens
AI safely at work
Draft, summarize, research, and protect workplace information.
10 landmarks68 min0/10 explored
Begin trail →△ Lead lens
Responsible AI at work in Europe
Practice oversight, role awareness, EU risk, and escalation.
11 landmarks89 min0/11 explored
Begin trail →◇ Build lens
Evaluate an AI product
Look beyond demos to evidence, access, limits, and consequences.
12 landmarks79 min0/12 explored
Begin trail →◇ Build lens
Prepare to build a responsible agent
Learn the boundaries and checks before tools can take action.
12 landmarks78 min0/12 explored
Begin trail →◌ Everyday lens
The everyday AI toolkit
Put AI to work in daily life — learning, creating, translating, searching — without being fooled by it.
9 landmarks55 min0/9 explored
Begin trail →□ Work lens
AI for everyday work tasks
Spreadsheets, data, shared prompts, and picking a tool — the practical work jobs, done safely.
6 landmarks52 min0/6 explored
Begin trail →◇ Build lens
How a model actually works
Tokens, prediction, attention, context, and cost — the mechanics under everything else.
7 landmarks42 min0/7 explored
Begin trail →◇ Build lens
How models are made
Pretraining, alignment, size, openness, and the data underneath — what shapes a model before you ever use it.
6 landmarks43 min0/6 explored
Begin trail →◇ Build lens
Beyond the model
Retrieval, tools, memory, and multimodality — the machinery bolted around the model that does most of the work.
6 landmarks44 min0/6 explored
Begin trail →△ Lead lens
Knowing if it works
Evaluation sets, benchmarks, vendor claims, and confidence — how anyone actually knows an AI system is any good.
6 landmarks42 min0/6 explored
Begin trail →