Creativity &amp; Craft

Keep your taste: AI in a creative practice

AI can accelerate almost every stage of a creative practice. That is exactly the problem: convenience does not ask whether a stage was where your judgement lived. A map for deciding what to accelerate, what to keep human, and how to handle copyright, consent, and disclosure along the way.

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AI Is Not Your Muse

A generative model can flood you with options, phrases, and images. It cannot supply taste, judgment, or authorship. Why treating AI as the source of creative direction creates dependency - and how to keep it as a tool that reacts to choices you already made.

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Write the Creative Brief Before You Prompt

Prompting without a brief is asking a fluent tool to invent your project for you. A short creative brief - audience, outcome, constraints, non-goals, and taste notes - turns AI into an executor of direction you already own.

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Disclose AI in Creative Credits Without the Panic

When does AI assistance need a credit line, and how do you write one that is honest without turning the artwork into a disclaimer wall? Practical disclosure norms for makers, aligned with authorship rules and emerging transparency duties.

Draft First, Then Ask for Critique - Not Co-Authorship

The strongest AI assist for makers is usually critique of a draft you already wrote - not a co-authored first draft that quietly replaces your voice. A draft-then-critique loop with validation rules and a clear fallback when the feedback is generic.

5 min lukemista

An Edit Pass That Preserves Your Taste

AI edit passes often sand your work toward the mean. A taste-preserving edit loop: criteria first, local suggestions only, side-by-side keep/reject, and a final unaided read that protects what makes the piece yours.

Iterate Variants Without Losing the Direction

Variant generation is useful until it quietly replaces your thesis with whichever option looked shiniest. A direction-locked iteration method: freeze the brief, vary one axis at a time, and kill favorites that break the core claim.

5 min lukemista

Refuse to Let AI Ghostwrite Your Public Voice

When AI-assisted prose stops being help and starts being a public substitute for your voice, the cost is reputation, trust, and skill. A strategic decision framework for which surfaces may use drafting help - and which must stay unmistakably yours.

Visual References Without Style Theft

Reference images and artists are how makers learn - and how generative tools get misused. A consent-aware, fair-reference practice for AI image work that refuses living-artist style cloning while still letting you study craft.

5 min lukemista

Get Consent Before Synthetic Voice or Likeness in a Project

Project hygiene for makers who want synthetic voice, face, or performance elements: consent first, scope in writing, storage limits, and clear refusal paths - without a cloning how-to.

4 min lukemista

Workshop Feedback Prompts for Makers

Unstructured 'be honest' prompts produce vague cheerleading or chaotic rewrites. A structured critique prompt pack for makers - clarity, structure, voice, risk - so AI workshop feedback stays useful without becoming a co-author.

7 min lukemista

Keep Your Name on AI-Assisted Work

AI-assisted does not mean fraudulent, but silence about it can become misleading fast. The bodies that actually govern authorship — the US Copyright Office, journal-ethics groups, major publishers — converge on the same two rules: only a human can be the accountable author, and appreciable AI use must be disclosed. A practical disclosure norm for everyday work, not a plagiarism panic.

8 min lukemista

Raise Children Who Remain Authors of Their Own Lives

App-level screen time rules answer 'how much AI.' They do not answer the harder question: which of the choosing, deciding, creating, and relating that childhood is for should stay a child's own, even as AI becomes ambient in homework, friendship apps, and games. A practice framework across six domains gives families and schools a decision rule, not just a time limit.

7 min lukemista

Refuse to Rank People With AI

It is tempting to ask AI to score candidates, rank a team, or rate who is the 'best' friend, employee, or date. Regulators, courts, and one well-documented corporate failure all point the same direction: scoring people with AI, without an accountable human process and an audit trail, produces bias that is hard to see and harder to undo. A refusal checklist for everyday life and work.

Why Repair and Apology Stay Human

AI can help you find the words for an apology you are struggling to write. It cannot feel the regret, deliver the apology, or do the ongoing work of repair that makes an apology mean anything. A checklist keeps AI in the drafting role and the relational accountability where it belongs — with you.

7 min lukemista

What Deteriorates When You Outsource Thinking

Letting a model write the first draft of every essay, email, and argument feels efficient right up until you notice you can no longer produce the first draft yourself. A skill-preservation audit — baseline, unaided attempt, assisted phase, independent check — keeps the effort where the learning actually happens.

8 min lukemista

The Delegation Audit: What Should Stay Yours

AI can draft, summarize, and organize almost anything you hand it. That does not mean it should. A six-question delegation audit — consequence, authorship, relationship, skill, privacy, reversibility — sorts tasks into keep, assist, delegate, and never, with ten worked examples.

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8 min lukemista

The dignity of work when machines can do more of it

A practical job-redesign assessment for SME leaders: examine worker voice, retained judgement, skill paths, workload, monitoring, and appeal before declaring an automation successful.