AI Products
👀 Seeing is just the beginning. With Qwen-MM-Plugins， turn your favorite agent harness multimodal-…
Qwen-MM-Plugins 让智能体原生支持多模态
Qwen (@Alibaba_Qwen)
X (formerly Twitter)👀 Seeing is just the beginning. With Qwen-MM-Plugins, turn your favorite agent harness multimodal-native — read images, videos & documents, edit videos, work with 3D/CAD, and more. From multimodal models → multimodal agents. 🚀 Watch it in action: https://t.co/C2jQObXryM
Open sourceRecommended because
This is worth tracking because it is a concrete AI product signal, not just a passing headline. The source preview points to a product surface, workflow improvement, integration, or launch pattern. For builders and operators, "👀 Seeing is just the beginning. With Qwen-MM-Plugins， turn your favorite agent harness multimodal-…" can be used as a checkpoint for competitive research, feature prioritization, onboarding ideas, and workflow design. I keep this thread indexed so future searches around AI product launches, workflow automation, and product strategy can land on a source-linked page instead of disappearing into a fast-moving feed from X (formerly Twitter).
What to take from this signal
Context
"👀 Seeing is just the beginning. With Qwen-MM-Plugins， turn your favorite agent harness multimodal-…" is archived here as a source-linked AI signal from X (formerly Twitter). The useful part is the connection between Seeing, just, beginning, Qwen-MM-Plugins, turn and competitive research, feature prioritization, onboarding ideas, and workflow design, which makes the item more actionable than a normal feed headline. The source context says: 👀 Seeing is just the beginning. With Qwen-MM-Plugins, turn your favorite agent harness multimodal-native — read images, videos & documents, edit videos, work with 3D/CAD, and more. From multimodal models → multimodal agents. 🚀 Watch it in action:
Builder takeaway
For an AI builder, the main takeaway is to watch how this signal changes practical decisions around workflow design, product positioning, adoption friction, and user value. It can inform what to test next, which product surface to compare, and whether the underlying workflow is ready for real users.
Source context
X (formerly Twitter) remains the authoritative source for the original claim. This page adds a stable archive URL, a short builder interpretation, and related search language so the item can be found later when the original feed has moved on.
Search angles
- 👀 Seeing is just the beginning. With Qwen-MM-Plugins， turn your favorite agent harness multimodal-… AI Products context
- X (formerly Twitter) AI product launches
- Seeing, just, beginning, Qwen-MM-Plugins, turn builder takeaway
- AI product launches, workflow automation, and product strategy
This page keeps a source preview and a stable archive URL for search discovery. The original source remains authoritative.