Platform Capabilities
POCR.AI routes your prompt through coordinated LLM ensembles with precision controls, expert persona lenses, structured workflows, persistent query history, and project-based file management - all available to logged-in users from a single interface.
Chain agents so each pass sharpens the prior output. Intentionally sequential — each agent requires the previous output to proceed.
One model proposes; another interrogates. Surface weaknesses and strengthen reasoning before a decision is committed.
Parallel agents respond independently. Build genuine consensus, surface dissent, and express the full range of views on any question.
Decompose complex problems, solve sub-tasks in parallel across specialised agents, then synthesise into a unified answer.
After your workflow completes, a Cohere Command-A meta-agent analyses all model outputs and structures the results. Rank and Reasons always render. Compare and Checkbox appear when two or more models contribute distinct outputs.
"We needed analysis we could put in front of the board — not a wall of AI text. POCR.AI's structured formats meant we went from session to board pack in under an hour."
Generated when 2+ models respond. Side-by-side analysis that makes agreement and divergence immediately visible — so you know which perspectives deserve deeper scrutiny.
Always generated. Weighted scoring across defined criteria — defensible, documented rationale for any decision requiring structured prioritisation.
Generated when 2+ models respond. Consensus-driven checklists that aggregate multi-agent outputs into actionable, binary items for project scoping and readiness assessments.
Always generated. Colour-coded factor grids surfacing the key reasoning behind each agent's position — understand not just the what, but the why across every model in your ensemble.
Full-text search across all saved query titles. History loads in batches of 50 with lazy scroll-pagination — always one scroll away.
Click any query to reload its full output — models, workflow, lens, and all structured formats — directly into the output panel.
Any session can be replayed — prompt, models, workflow, and lens pre-loaded. Adjust a slider, swap a model, re-execute against the same baseline.
Named projects with active/archived status, each with its own query list and reference file library — fully independent from all others.
PDF, TXT, MD, CSV, JSON, XLSX, DOCX. Delete individual files without affecting the project or its sessions. Persistent via PostgreSQL.
Active and archived states. Deleting a project unassigns all sessions — they remain in query history — and removes all reference files.
One click captures the complete formatted output — all agent results, structured formats, and meta-agent synthesis — ready to paste into any document, deck, or communication immediately after a run.
Every executed run is automatically persisted to your account. The full state is saved — prompt, selected models, workflow, lens, and all three slider positions — retrievable from the query history sidebar instantly.
Any saved session can be assigned to a project directly from query history. Add reference files relevant to the topic and build a structured workspace around a related body of work.