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CreativeSimulated project

NFT Artist / Generative Artist portfolio brief

A simulated creative exercise for NFT Artist / Generative Artist. Treat it as realistic practice, not real client or protocol work.

Objective

Build a small coherent series

Expected deliverables

Artwork or collectionGenerative scriptTrait or rule documentationMetadata setEdition planArtist statementRights and collaboration agreement

Recommended workflow

  1. Build a small coherent series
  2. Document concept, process, code or production, rights, and preservation
  3. Present the work without price promises
  4. Review the result against the rubric, then package it as a case study.

Constraints and safety

  • Use only public sources or clearly simulated data.
  • Never include seed phrases, private keys, or wallet secrets.
  • Redact private user, company, security, legal, or compensation information.
  • State every assumption you make.

Tools in practice

Creative coding tools
Build and test generative rules, seeds, traits, rendering behaviour, and reproducible outputs.
design or 3D software
Develop the visual assets, scenes, textures, or models used by the artwork or generative system.
smart contract or mint platforms
Test mint behaviour, supply, metadata, permissions, pricing, and collector flow before release.
IPFS or storage tools
Pin and verify assets and metadata, document dependencies, and reduce the risk of broken or mutable collection references.
portfolio and documentation tools
Draft, review, and maintain artwork or collection and generative script, with owners, source links, and change history.

What a strong submission shows

  • A coherent body of work
  • A 20-piece generative study
  • A script and output documentation
  • A commission or collaboration case study

Weak submission patterns

  • A trait mashup with no concept
  • Sales volume presented as artistic proof
  • Copied aesthetics
  • Unexplained reliance on platform defaults

Review rubric

  • Accuracy of claims and sources
  • Relevance to the target role
  • Decision quality and trade-offs
  • Completeness of the deliverable
  • Clarity of communication
  • Honest limitations and next steps

Present it as a case study

  • Explain the problem, sources, decisions, ownership, constraints, output, review, and what you would change.
  • Show the final artifact before the process notes.
  • State what you owned and what belonged to other people.
  • Label the work as simulated, and keep any real contribution clearly separate.

Interview questions this project helps you answer

  1. How do the generative rules express the concept?

  2. What happens to the work if the platform or metadata host disappears?

  3. How do you define rights across artist, studio, brand, and collector?

Turn this into an application