
Overview
Enterprise strategy is broken. Executives ask AI tools a question and get walls of text then spend hours manually recreating every framework their AI described in Miro, scheduling follow-ups in Calendar, and briefing teams over email. Four tools, zero integration, all manual.
VisionOps eliminates that gap entirely.
It is a real-time multimodal AI strategist built on Google's Agent Development Kit (ADK), combining voice interaction, visual context awareness, and a live animated whiteboard into a single unified experience. You speak your strategic challenge out loud. VisionOps hears you, sees the current state of the whiteboard, speaks its analysis back and simultaneously draws the strategy live, framework by framework, with smooth animations.
The system is powered by a four-agent pipeline: a root Strategist Agent handles voice conversation and 12 enterprise canvas tools (SWOT matrices, Business Model Canvases, Porter's Five Forces, Competitive Positioning Maps, KPI trend plots, roadmap timelines, and more). A Planner Agent generates structured strategy roadmaps. A Calendar Agent schedules strategy syncs directly on Google Calendar. An Execution Agent sends formatted briefings via Gmail all triggered by natural voice commands, with no manual steps.
The key technical innovation is the Canvas Bridge Pattern: a novel architecture that bypasses Gemini Live's payload size limits by streaming Excalidraw element arrays through a parallel WebSocket channel, enabling the whiteboard to begin animating before the model's response round-trip even completes.
VisionOps is not a chatbot with a canvas bolted on. It is a real-time strategic collaboration partner multimodal at the core, multi-agent in its orchestration, and enterprise-ready in its integrations. From spoken question to animated strategic framework in under 10 seconds.
Note: the demo URL is substituted with the GitHub repository link.
Tech stack
No comments yet
Be the first to comment on this project.

sentinel
Full-Stack Self-Healing DevOps & Security Copilot The Concept: An AI operations engineer that doesn't just suggest code fixes—it monitors cloud infra, detects uptime/security drops, automatically provisions fixes, and generates audit reports for enterprise compliance.

Agency Compiler
Agentic creative project compiler. Most creatives, agencies and designers dont know how to use ai, none the less agents. We created a platform that allows a creative agency or studio owner to instantly spin up agents based on the project ask, resources and scale.

ProofRun
ProofRun helps developers answer a critical question before shipping: will this update break behavior users rely on? An AI agent inspects two Git revisions, designs targeted experiments, and proposes repairs. An independent Docker-based verifier runs those experiments against both versions, preserves the original tests, and checks whether the repair actually works. Developers receive an update, skip, or postpone recommendation with recorded evidence and a reviewable patch. In a live synthetic…


