A field guide for the age of AI

AI is already here.

Let’s learn how to live and work with it.

Practical guides, honest conversations, and human-centered experiments for building a better relationship with AI.

Open the field guide

No hype. No doom.
Just useful perspective.

Fig. 01Human × machine
Organic and geometric forms meeting around a shared point
The interesting part is not either one alone. It is the relationship between them.

Start with the tool in front of you

Make the chat more useful.

Short, practical guides for getting better work from ChatGPT and Claude—plus a place for the questions that do not have tidy answers.

Our starting point

The question is no longer whether AI will be part of everyday life. The question is how.

AI can

Search
Sort
Simulate
Draft

People must

Choose
Care
Question
Answer

What becomes possible—and what becomes fragile—when we use it?

A working relationship

Use AI to create room for thought—not to avoid it.

Used well, AI can lower the cost of exploring an idea, help us see patterns, translate across expertise, and make difficult work more accessible.

Used carelessly, it can hide uncertainty behind fluent language, flatten distinct voices, and move responsibility away from the people affected.

A mature relationship is neither refusal nor surrender. It is the practice of choosing where to invite assistance, where to add friction, and where a human presence is the point.

Three moments that shape the whole experience

Useful before impressive.

Open each field note for a compact practice you can use in real work.

01Before you beginStart with the need, not the novelty.

The fastest way to make AI useless is to begin with the tool and search for something to do with it.

Name the workDescribe the real outcome without mentioning AI.

Find the frictionLocate where time or attention is actually being lost.

Choose a roleUse AI as a scout, editor, simulator, or sparring partner.

Define goodState what a trustworthy answer must include.

02During the workTreat every answer as material, not truth.

Fluent language feels finished. Keep the work visibly provisional and make uncertainty part of the process.

Ask for alternativesThree different answers reveal assumptions better than one.

Invite resistanceAsk what is weak, missing, or merely convenient.

Verify what mattersCheck names, numbers, sources, and consequential claims.

Make it yoursRewrite the conclusion in language you can defend.

03Before you actKeep responsibility where the consequences land.

AI can contribute to a decision. It cannot carry the relationship, accept the consequence, or repair the harm.

Locate the consequenceAsk who is affected if the answer is wrong or unfair.

Protect the privateDo not share what does not belong in another system.

Name the decisionBe explicit about what a person still has to decide.

Leave a trailKeep the sources, edits, and reason for the final choice.

The human part

Three things not to outsource.

01

Attention

Deciding what is worth noticing before a system decides what is easiest to show.

02

Care

Recognizing that another person is not merely a user, case, segment, or data point.

03

Meaning

Choosing what a result means in the context of a life, relationship, or community.

Skip the predictions

Ask about practice.

Useful conversations begin after the demo ends—when the tool meets time pressure, professional judgment, uneven power, and other people.

01What changed after the novelty wore off?

02Where did the tool make you more capable?

03Where did it make you less attentive?

04Who carries the cost when it is wrong?

05What are you choosing not to automate?

Low risk / high signal

Try small things.
Notice what changes.

EX—0115 min

The honest hand-off

Give AI one task you know well. Mark what it did, what you fixed, and what still needed your taste.

EX—021 day

Friction on purpose

Do the thinking first. Then ask AI to challenge your conclusion instead of creating it.

EX—031 week

The decision diary

Notice each moment AI influences what you read, write, buy, believe, or ignore.

EX—041 team

Show the messy middle

Share the prompts, edits, sources, doubts, and judgment behind a polished result.

A small useful glossary

Words shape what we notice.

Agency
The ability to understand, choose, refuse, and change course.
Automation bias
Trusting an answer because a system produced it.
Hallucination
A confident answer that is invented, unsupported, or wrong.
Provenance
The trace of where information came from and how it changed.

Our point of view

AI should expand human possibility—not shrink it.

We care about capability without surrender, progress without amnesia, and tools that leave people with more agency than they had before.

Back to the beginning