Open TagOne AI agent for your whole company. Tag it in Slack.
Not a custom agent per channel, but a company-wide AI that respects security & privacy. Tag it in any channel and it works alongside your team — acting with each person's own permissions, running on any LLM, and building a shared brain as it goes.
And it's yours — your brand, your models, your context, your rules.
Trusted at scale by
Trusted at scale by
It's not Claude's. It's yours.
Your brand, your models, your context, your rules.
ClaudeAppClaude
GPT
DeepSeek
GeminiEvery teammate keeps their own permissions. No new rules to set up.
The agent acts as whoever tagged it, inheriting that person's access to data and tools — so there are no channel-wide credentials and no dumbed-down lowest-common-denominator bot.
- Acts with the triggering user's permissions; authorization follows the real person.
- Row-level and column-level access enforced deterministically at the data layer — the model can't bypass it.
- Audit logs attribute every action to the actual human, not a shared bot identity.
Any model. Even for images.
Pick the best model for each task — frontier, open-weight, or multimodal — without ever leaving Slack.
- Any LLM, per channel or per task — no lock-in.
- Route cheap or open-weight models to control cost.
- Ask it to generate an image (e.g. “use Nano Banana”) right in the thread.
ClaudeGPTDeepSeek
GrokNano Bananamedia
Drop it into a customer channel. Safely.
When a customer asks in the shared channel, tag your company AI to answer instead of fielding every question yourself — and optionally let customers use it too, always scoped to just their own data.
- Customer asks in the shared channel — tag your company AI to answer for them, instead of handling every question by hand.
- Optionally let the customer tag the bot directly too — a deliberate choice you turn on per channel.
- Either way it stays scoped to that customer's own data — they can't see other accounts or internal context.
Connect anything.
The agent handles the setup.
Tell the agent what to connect — another agent, an API, or a database — and it reads the docs, maps the API, walks you through auth, then tests and verifies it.
- Built-in, custom, and internal APIs.
- Databases (Snowflake, Postgres, BigQuery, …) and SaaS tools.
- Hand tasks to other coding/computer agents (Claude Code, Codex), too.
Turn a Slack thread into a shareable dashboard, app, or deck.
The agent writes and runs code in a secure cloud sandbox and produces real, openable artifacts — straight from the conversation.
- Dashboards, charts, tables, slides, and web pages.
- Interactive internal apps — like a shared to-do / tracker the whole team edits.
- Open from Slack, web, or mobile — even after your laptop is closed.
The vibe shift
We made AI a team sport.
Fewer meetings. Fewer status updates. Faster decisions. The work & discussion about the work happen in the same place now — shared AI threads.