AI Worldbuilding Template 1
Canon-first ideation: Fixed facts [ ]. Must-not-change constraints [ ]. Decision needed [ ]. Generate 4 materially different options; for each list benefits, costs, second-order effects and contradiction risks.
Start with structure, then replace every placeholder with information that is true, relevant, and natural for your context. These templates are intentionally skeletal so your final writing does not sound mass-produced.
A strong AI worldbuilding workflow starts from author-supplied canon and constraints, asks for multiple options rather than one authoritative answer, labels inventions and research needs, verifies real-world claims independently, checks privacy and contractual limits before uploading material, and records only deliberately accepted ideas as canon. The writer remains responsible for originality, consistency and the delivered work.
Canon-first ideation: Fixed facts [ ]. Must-not-change constraints [ ]. Decision needed [ ]. Generate 4 materially different options; for each list benefits, costs, second-order effects and contradiction risks.
Consequence mapper: If [world rule] is true, map immediate, household, institutional and generational consequences. Label every assumption not supplied in canon.
Contradiction check: Accepted canon [ ]. Proposed addition [ ]. Flag direct conflicts, timeline conflicts, scale problems and unanswered assumptions. Do not invent missing canon.
Alternative systems: Goal [ ]. Constraints [ ]. Produce 5 different systems that solve the goal through different mechanisms. Compare failure modes and who benefits/loses.
Research-question generator: Fictional need [ ]. Real-world domain [ ]. Generate research questions and source types to consult; do not provide uncited factual answers.
Bias/stereotype check: Draft world element [ ]. Identify where it may rely on one-note cultural, gender, racial, class, disability or colonial assumptions. Ask questions rather than rewriting as authority.
Scale test: Capability [ ]. Frequency [ ]. Access [ ]. Cost [ ]. Show what changes at household, city and state scale; flag where the premise becomes inconsistent.
Failure-mode test: System [ ]. Normal operation [ ]. Dependencies [ ]. Generate 5 plausible failure modes, early warning signs and groups affected first.
Canon comparison: Option A [ ]. Option B [ ]. Compare each against [themes], [character goals], [existing canon] and [story stakes]. Recommend nothing until contradictions are listed.
Privacy-minimized prompt: Sensitive material withheld [ ]. Safe summary [ ]. Question [ ]. Work only from the summary and state what cannot be inferred.
Source-verification handoff: AI claim [ ]. Convert it into 3 checkable questions. Identify likely primary/official source types and what evidence would confirm or falsify the claim.
Culture-research handoff: Fictional concept [ ]. Potential real-world parallels [ ]. List contextual research areas, stakeholder perspectives and sensitivity questions; do not invent cultural facts.
Output provenance note: AI-assisted task [ ]. Human constraints supplied [ ]. Generated options considered [ ]. Accepted idea [ ]. Human changes [ ]. External facts verified at [sources/records].
Contract/disclosure check: Intended use of generated material [brainstorm/research aid/text/etc.] | Publisher/platform requirements [ ] | Confidentiality risk [ ] | Registration/disclosure issue to review [ ].
Human-rewrite gate: Generated material [ ]. Keep only [idea/structure/question]. Rewrite from author reasoning and canon. Remove unsupported claims, generic phrasing and unverified details.
Canon-update gate: Proposed accepted fact [ ]. Source [author decision/research/manuscript]. Conflicts checked [ ]. Status [accepted/rejected/experimental]. Record location [series bible/world bible].