Tago
Product information, use cases, and access for Tago.
Pricing information
No verified public pricing is available yet.
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What is Tago?
Tago is an AI assistant for ecommerce operations, designed around a multi-agent architecture. The available descriptions position it as a workspace for handling several kinds of operational work, including ecommerce video creation, browser-based tasks, video analysis, creator management, product-image processing, and data research. It is therefore most relevant to ecommerce operators and teams that need one place to coordinate varied content and operations tasks.
Users can direct work toward a particular operational goal, then use specialized agents for video, web-based store work, video understanding, creator collaboration, images, or research. The product spans both content-production and analysis-oriented workflows, so it can support recurring operational preparation as well as decision-support tasks. Its broad set of agents makes it a practical fit when routine ecommerce work is spread across several different formats and tools.
Key features of Tago
Ecommerce video work
The ecommerce video agent covers work around shoppable content, including script breakdown and video generation. It is suited to operators who need to prepare promotional video materials as part of ongoing ecommerce content work.
Browser-based operations
The web automation agent handles browser-based operational tasks such as store inspections, information updates, and rule lookups. This makes it useful for recurring store-management work that would otherwise require repeated manual interaction with web pages.
Video and creator analysis
The video analysis agent can examine scripts, identify selling points, and analyze comments, while the creator-management agent supports creator information, outreach, and outcome assessment. Together, these capabilities address content review and creator-marketing coordination for ecommerce teams.
Images and data research
The ecommerce image agent supports image optimization, compliance checks, and batch editing. A separate data-analysis and research agent can work with specified sources for competitor monitoring and market-trend analysis, making the pair useful for product-content maintenance and operational planning.