Super Mind: Five Perspectives, One Answer
All 5 AIs respond simultaneously. A synthesis engine combines their perspectives into one unified answer. You get multi-AI intelligence without reading five separate responses.
Consensus points, divergence flags, source attribution – all in a single response. Quick decisions, informed by five reasoning engines.
Sometimes you need an answer, not five of them
Sequential mode is powerful for deep exploration. But when you need a quick recommendation, reading five responses and synthesizing them yourself is overhead you don’t have time for.
Single-AI tools give you one answer fast – but it’s one perspective with one set of biases. You gain speed but lose the validation that multiple perspectives provide.
Fusion Mode solves this tradeoff. Five AIs work in parallel, then their responses are synthesized into one comprehensive answer. Speed of single-AI, intelligence of multi-AI.
Parallel processing, intelligent synthesis
Unlike Sequential mode where AIs build on each other, Fusion mode runs all AIs simultaneously.
You send a message
Your question goes to all 5 AIs at the same time.
Parallel processing
All 5 AIs generate responses simultaneously, not waiting for each other.
Synthesis engine
Claude analyzes all 5 responses and synthesizes them into one unified answer.
One answer
You receive a comprehensive response with consensus, divergence, and attribution.
What a Fused Response looks like
The Main Answer
One comprehensive answer that integrates the strongest points from all five AI perspectives. Clear, actionable, ready to use.
Consensus Points
Where all or most AIs agreed. High-confidence elements of the answer. When five independent models converge on the same point, that’s signal.
Divergence Flags
Where AIs disagreed. Explicitly highlighted so you can explore further. Divergence isn’t a problem – it’s information about where the question has genuine uncertainty.
Source Attribution
Which AI contributed which insight. You can trace any point in the fused answer back to its source if you want to dig deeper.
Pricing Strategy for a Developer Tools Product
Query: “What’s the most effective pricing strategy for a new developer tools product entering a crowded market?”
Fused Response
Recommendation: Value-based penetration pricing with rapid escalation. Start below market rate ($29-49/mo vs. competitors’ $79-149/mo) to accelerate adoption, then introduce usage-based tiers that naturally grow with the customer.
Consensus Points
- Don’t compete on price long-term in dev tools
- Free tier is essential for developer adoption (3-5% conversion benchmark)
- Value metrics should align with customer success (API calls, builds, deployments)
Divergence
- Grok notes current market sentiment favors consumption-based pricing
- Claude cautions that too-low initial pricing signals low quality to enterprise buyers
- Perplexity cites data showing freemium works for sub-$50K ACV but not above
Bottom line: Launch at $39/mo (individual) and $99/seat/mo (team), with a generous free tier. Plan to raise individual pricing within 12 months once market position is established.
Fusion vs. Sequential
Use Fusion When
- You need a quick decision
- Time is limited
- The question has a likely convergent answer
- You want one recommendation, not five perspectives
- You’re generating a Master Document quickly
- You need something shareable with your team
Use Sequential When
- You want to see different perspectives unfold
- The topic is complex or controversial
- You want AIs to build on each other’s ideas
- You’re exploring unknown territory
- The journey matters as much as the destination
- Quality trumps speed
Fusion vs. Sequential at a glance
| Sequential | Fusion | |
|---|---|---|
| AI interaction | Each sees previous responses | Independent, parallel |
| Output | 5 separate responses | 1 synthesized answer |
| Time | 50-100 seconds | 20-40 seconds |
| Best for | Deep exploration | Quick decisions |
| Compounding | Yes (AIs build on each other) | No (synthesis combines after) |
| Disagreements | Inline in responses | Flagged separately |
Getting the most from Fusion
Ask specific, answerable questions
Fusion works best when there’s a likely convergent answer. Open-ended exploration works better in Sequential.
Follow divergence flags
If the fused response flags an interesting divergence, switch to Sequential or @mention the relevant AI to explore that angle deeper.
Use both modes for important decisions
Fusion for the quick recommendation. Sequential for deeper validation. The combination gives you speed when you need it and depth when it matters.
Ideal for Master Documents
Fused responses are already synthesized – they translate well into polished documents. Great for generating executive briefs, recommendations, and other deliverables quickly.
Quick decisions. Multi-AI intelligence. One answer.
When you need a recommendation fast, Fusion mode delivers five perspectives synthesized into one.