The Flaw Was Obvious—From Every Perspective But Yours.

Nine Perspectives, Parallel Analysis

Context Switcher doesn't ask one AI to "consider multiple perspectives" — that's just prompt engineering. It runs your question through separate, isolated sessions with different system prompts, each optimized for a specific stakeholder viewpoint.

Each perspective evaluates simultaneously — no sequential bias where later perspectives are influenced by earlier ones. Then the synthesis engine identifies consensus, tensions, and the meta-insights that only emerge when viewpoints collide.

How It Actually Works

Context Switcher orchestrates parallel LLM calls, each with a different system prompt optimized for that stakeholder's concerns:

# You send one question
analyze_from_perspectives(
    session_id="billing-review",
    prompt="Evaluate our $20/mo unlimited pricing model"
)

# Context Switcher runs 9 parallel sessions:
┌─────────────────────────────────────────────────────────┐
│  Your Question                                          │
└─────────────────────────────────────────────────────────┘
         │
         ├──→ [Technical]  → async LLM call with tech prompt
         ├──→ [Business]   → async LLM call with biz prompt
         ├──→ [User/UX]    → async LLM call with UX prompt
         ├──→ [Risk]       → async LLM call with risk prompt
         ├──→ [Finance]    → async LLM call with finance prompt
         ├──→ [Ops]        → async LLM call with ops prompt
         ├──→ [Indie Dev]  → async LLM call with indie prompt
         ├──→ [Enterprise] → async LLM call with enterprise prompt
         └──→ [Competitor] → async LLM call with adversarial prompt
                    │
                    ▼
┌─────────────────────────────────────────────────────────┐
│  Synthesis: Consensus, tensions, meta-insights          │
└─────────────────────────────────────────────────────────┘

Each perspective has its own conversation thread — no context pollution between them. The Technical perspective doesn't see what Business said. They evaluate independently, then the synthesis identifies where they agree and where they conflict.

The Synthesis Engine

After gathering perspectives, the synthesis operation analyzes all responses to find:

• Consensus: What do all perspectives agree on?
• Tensions: Where do perspectives directly conflict?
• Meta-insights: What becomes visible only when comparing across viewpoints?
• Blind spots: What did the original framing miss entirely?

Use Cases