OpenTag is a model-agnostic AI coworker for Slack and Teams that automates repetitive tasks and maintains a self-updating company wiki.
What the product does and how it is positioned
OpenTag functions as an AI teammate integrated directly into team collaboration platforms like Slack and Microsoft Teams. It utilizes a model-agnostic routing system to direct tasks to over 80 different AI models, including Claude, GPT, and Gemini, based on the specific requirements of the request.
The tool is designed to reduce manual workloads by identifying recurring tasks and offering to automate them. It also maintains organizational knowledge by automatically updating a central wiki as decisions are made in chat threads, so that documentation reflects current company operations.
Source-supported ways to use the product
OpenTag identifies when a user manually pulls the same data multiple times and offers to automate the report delivery on a weekly schedule.
When a policy change is discussed and finalized in a Slack channel, OpenTag automatically revises the corresponding wiki page and archives the previous version.
The documented workflow, where available
Connect OpenTag to Slack or Microsoft Teams and link relevant data sources such as HubSpot, GitHub, or internal databases.
Mention OpenTag in a chat thread to request information or perform an action across connected tools.
The system analyzes the request and routes it to the most suitable AI model from its library of over 80 options.
OpenTag returns the completed work in-thread, providing the steps taken and requesting approval for any external actions.
OpenTag operates on the principle that the tagging and routing layer should be independent of any single AI model provider. By using the Conifer routing system, it can access a wide variety of models ranging from high-end frontier models to more efficient specialized models.
This architecture allows the tool to optimize for both performance and cost. While complex reasoning tasks might be routed to Claude or GPT, simpler tasks are handled by models that fit the specific requirements of the job without unnecessary overhead.
Checks to run with your own material and workflow
What was checked and when
Answers based on the source-checked product record
OpenTag is designed to work within Slack and Microsoft Teams, where it functions as an integrated AI teammate.
OpenTag monitors channel threads for decisions and changes, then automatically revises relevant wiki pages to ensure documentation remains current.
Yes, it connects to tools like HubSpot, GitHub, and Stripe to take actions and pull data based on team requests.
Every task runs on its own sandboxed cloud machine, scoped to specific connected tools, and is torn down once the work is complete.
No, OpenTag automatically routes tasks to the most suitable model among more than 80 options, though it reaches for frontier models when necessary.
