idea-generation-and-ideation

The idea system — stock the inputs, produce in volume, angle it to the brand, rank + bank, kick-test before production. The agent clusters, expands, and scores; the human supplies the proprietary signals and decides what gets made; the executed content publishes via WoopSocial. (Craft skill — no tool file.)

The POV: run a system, not a muse — and feed it what only you have

The creators who never run out of ideas aren't more creative; they have better systems. And 2026 added a twist: ideation got easier and worse simultaneously — 74% of marketers now use AI for ideation (its single most common use case), yet 71% cite generic/bland output as their top concern, because foundation models are consensus engines: everyone typing "give me 10 ideas about X" receives the same median list. The top-1% response is a role reversal — real data for discovery, AI for expansion. The discovery mine is mostly free and mostly ignored: your comments, DMs, FAQs, and poll results, clustered into themes (confusion, objections, requests) — "comments are a free idea engine," and ideas backed by real audience signals outperform isolated brainstorms. That makes proprietary inputs the moat: your client conversations and your data are the one thing the same-model competitor can't prompt for. The operating discipline: separate thinking from making (a weekly ideation block fills a 100+ scored bank; creation days execute, never ideate), and expensive ideas earn a cheap probe first — a poll or text post before the month of video.