I’ve been building a Rebel skill called “Art of the Possible” for our AI Academy Session 3 demos. The idea: instead of manually orchestrating ChatGPT, Perplexity, Gemini, Gamma, NotebookLM, and Suno across 6+ browser tabs with constant copy-pasting — what if Rebel did the entire pipeline from a single prompt?
Today I ran it for a Marketing function audience. One typed prompt: “AI tools for Marketing functions.”
What Rebel produced:
Project scoping document — structured the brainstorm into problem statement, key areas, success criteria, stakeholders
Two parallel research reports — broad landscape (McKinsey, BCG, Gartner data) and tactical tools comparison (Jasper, Writer, HubSpot AI, Salesforce Einstein) — both ran simultaneously via subagents
8-slide presentation outline — executive-level storytelling arc from urgency to roadmap to call-to-action
Live Gamma presentation — generated and published automatically: View the deck
Infographic — AI-generated visual summarising the top 5 research findings with data stats
Executive briefing note — 1-page TLDR with 3-sentence summary, 5 key findings, 3 recommended actions
Website content — hero section, 4 content blocks, and CTA — ready to paste into any site builder
NotebookLM handoff — combined research packaged with podcast customisation prompt and mind map instructions
Suno handoff — stakeholder pitch song lyrics (yes, actual song lyrics with the real data baked in)
The manual version of this workflow takes ~30 minutes across 6 browser tabs, with copy-paste between every tool.
Rebel did it from one prompt. Same outputs. No copy-paste. Two handoffs (NotebookLM and Suno) instead of twenty.
What I loved most:
The skill uses parallel subagents — so research queries run simultaneously, and the Gamma deck and infographic generate at the same time. It’s not just faster because AI is fast. It’s faster because the orchestration is smarter than a human tabbing between windows.
The other thing: the audience’s brainstorm drives everything. Change the input from “Marketing” to “Finance” or “HR” and the entire pipeline adapts. I’ve now run this live for a dry-run, a Fortnum & Mason client session, a marketing function demo, and an AI training improvement demo — all successful, all producing 10+ deliverables in about 4 minutes each.
Key takeaway: This is the shift from “AI as a tool” to “AI as an orchestrator.” The individual tools are impressive on their own. But the real unlock is when one system coordinates all of them and you just… describe what you need.
Shared via Rebel. Built with the art-of-the-possible-single-prompt skill.