See it, don't just read about it.

Three models. One query. See how Arcochat cross-references GPT, Claude, and Gemini outputs and surfaces the strongest answer live, inside a real project workspace.

Workspace Connected
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Verify the value proposition for our early access campaign using the specs file in our project workspace.
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I have matched the project files in the workspace. Running side by side consensus analysis:
GPT-5.5 OpenAI

Proposed Value Prop: "Arcochat: The AI Workspace that keeps you focused."

Analysis: Clear and direct. Focuses on the core benefit of reducing context-switching. A bit generic, but highly accessible for general business users.

Claude 4.8 / Opus 5 Anthropic

Proposed Value Prop: "Arcochat is where professionals get AI work done."

Analysis: Perfect positioning. Anchor the headline around 'getting work done' to target high-intent professional builders. Strongly recommend pairing this with direct API pricing benefits.

DeepSeek V4 / R1 DeepSeek

Proposed Value Prop: "Plug in your keys. Bring your work. Arcochat handles the rest."

Analysis: Action-oriented, but using 'handles the rest' risks sounding like an automated agent model rather than a professional workspace tool. We should avoid implying the AI executes autonomously without user intent.

Consensus in Action

Instead of switching tabs between separate ChatGPT, Claude, and Gemini subscriptions, Arcochat compiles model responses side by side inside your local project sandboxes.

Consensus Engine Audit 3 Models Active
GPT-4o

Generates quick, structured drafts and outlines. Excellent for basic templates and logic structures.

Claude 3.5 Sonnet

Polishes style, details, and tone precision. Ideal for production-grade code reviews and editing.

Gemini 1.5 Pro

Indexes huge documents and cross-references source metrics to spot anomalies or logical errors.

Seen enough?

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