Platform Demos
Six demo videos showing POCR.AI's multi-agent orchestration in practice — from rapid single-pass responses to deep multi-model analysis with structured output reports. Choose a mode below.
A user wants a quick thinking process to surface the best EMBA options in the US. Two models (GPT-4o and Claude Sonnet) execute a Sequential Refinement workflow through the Commercial lens. Result inspected directly in the output box.
A user needs rapid insight on sourcing GPUs. Two models (GPT-4o and Claude Sonnet) execute a Sequential Refinement workflow through the Commercial lens, producing a fast, actionable response.
A user wants rapid insight on AI re-skilling options for a mid-career executive. Two models execute a Sequential Refinement workflow through the Strategic lens — CEO, CFO, and Lawyer perspectives applied simultaneously.
A user needs to understand cloud vs on-prem strategies for a UK Government Department. Two models (Claude Sonnet and DeepSeek) execute a Divide & Conquer workflow through the Technical lens. User inspects Compare, Rank, Checkbox, and Reasons output formats, then explores Save functionality.
A user wants to understand GTM strategies for a new VC sourcing dealflow. Two models execute a Sequential Refinement workflow through the Strategic lens. User explores Save functionality and inspects the full suite of structured output formats — Compare, Rank, Checkbox, and Reasons.
A user wants to understand hyperscale cloud provider options through genuine model consensus. Three models (Claude Sonnet, DeepSeek, and Mistral) execute a Majority Vote workflow — parallel independent responses, then structured consensus output.