AI Brainstorming Workflow Template 1
Context: I am working on [project] for [audience]. Constraints: [constraints]. Generate 8 distinct approaches grouped by [useful categories]. Label assumptions.
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 useful AI brainstorming workflow produces varied options without treating generated ideas as facts, narrows them against real goals and constraints, and records why the writer selected or rejected each direction.
Context: I am working on [project] for [audience]. Constraints: [constraints]. Generate 8 distinct approaches grouped by [useful categories]. Label assumptions.
Give me alternatives that differ in mechanism, not just wording. For each, explain the tradeoff in one sentence.
Challenge this direction: [idea]. List plausible weaknesses, missing audiences, and questions I should answer before choosing it.
Do not draft the final piece. Help me compare these options using [criteria 1–4].
Publication-readiness audit for AI Brainstorming Workflow: claim/advice/example → [ ]; strongest available source tier → [ ]; important disagreement or uncertainty → [ ]; what would change the conclusion → [ ]; publish now / qualify / revise / hold → [ ]; final verifier or source of truth → [ ].
Provenance and classification audit for AI Brainstorming Workflow: draft statement/example → [ ]; classify as fact / interpretation / recommendation / convention / original example → [ ]; source or internal provenance → [ ]; source date / version / checked date → [ ]; attribution needed → [ ]; recency risk → [ ]; final publishable wording → [ ].
Source-record and update audit for AI Brainstorming Workflow: statement / example → [ ]; external fact, project fact, interpretation, recommendation, convention, or original example → [ ]; controlling first-party / primary source → [ ]; secondary source if used → [ ]; source record / locator → [ ]; date or version checked → [ ]; update trigger → [ ]; publish / qualify / revise / hold → [ ].
Source-ledger and revision-history audit for AI Brainstorming Workflow: claim / recommendation / example → [ ]; source or project record ID → [ ]; source status active / superseded / corrected / retracted / retired → [ ]; claim-level last verified date/version → [ ]; event that triggered recheck → [ ]; correction / withdrawal action → [ ]; reader-facing disclosure needed? → [ ]; what changed and why → [ ]; prior wording/version retained at → [ ].
Claim/source status audit: Item [claim/source/example] | Status [active / review due / stale / corrected / retracted / superseded] | Controlling source/version [x] | Last verified [date/version] | Stale trigger [x] | Correction severity [0–3] | Reader disclosure [none / note / correction / withdrawal] | Changelog entry [what changed + why].
Dependency and propagation audit: Claim / example / recommendation [x] | Controlling source / project record [x] | Dependency strength [direct / shared / advisory / independent] | Review trigger / reason code [x] | Needs-review scope [local / direct dependents / cluster] | Replacement source requirements [x] | Carry-forward decision [x] | Propagation targets [x] | Reader disclosure / changelog action [x].
Persistent editorial registry audit: Topic slug → [ ]; claim UID/key → [ ]; source UID/key → [ ]; dependency UID + strength → [ ]; source status/version → [ ]; open review UID/reason/priority → [ ]; replacement source if any → [ ]; reviewer + resolution → [ ].