AI is changing how people work.
How decisions are made.
How teams collaborate.
How routine work gets done.
We have been thinking about this shift for a while.
What we see is that AI works better when it understands context.
Not just text, but how work is structured. Who has access. How things are connected.
Tape brings these pieces together. All data in Tape is structured by default, and Tape’s flexibility supports complex processes. At the same time, granular permissions let teams control who can see and edit what. Combined with other core features, Tape makes it possible to manage company-wide work in one place.
A due date is not just text. It is a field with meaning.
A record is not just a note. It is part of a process.
Communication is not separate. It stays connected to the work.
This context is what allows AI to understand how work actually happens.
When we started Tape almost seven years ago, we were not building for AI. We were building to help people work better together. Looking back, that foundation matters more than ever. The same structure that makes work easier to manage also makes it easier for AI to understand and act on it.
That foundation makes it possible to use AI at work in a more useful way.
Tape is becoming AI-native. Right where work already happens.
Status
AI in Tape is not new. Some teams have been using AI through automations and integrations for years. You can find a guide here
What comes next is not a single feature. It is a layer across Tape. That means AI is not limited to one place. The existing features and logic of Tape continue to work.
You can move fast with AI, for example by creating and updating records through a chat conversation. At the same time, the underlying data stays structured and connected. Work does not turn into a black box where everything lives inside a chat thread.
In Tape, you still get notified when a record you follow is updated. You can go back to tables or records to review open tasks, check details, and understand what changed. Visibility will remain part of the experience. This overview makes it easier to stay in control and helps users feel confident that work is progressing as expected.
The foundation is already there. While development stays focused on the new record experience and the mobile app, the product team is starting to define the first native AI experiences in Tape.
How we see AI in Tape
Right now, we see five main areas.
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Build with AI
Use plain language to create workspaces, automations, dashboards, or calculations. Build even complex setups like a CRM, then refine them with AI or manually. -
Agents
AI teammates that can handle work in the background. They handle multi-step tasks and take action based on your setup and permissions.
Example: A new support ticket comes in. The agent checks your help center or existing records, suggests a reply, routes it to the right person, or sends a response. -
AI assistant
Chat with an assistant that understands your organization and its data. Create and update records through conversation, analyze your data for insights, or write a meeting agenda. -
Smart features
Search across Tape using natural language and full questions. Use AI in text fields to improve writing, reformat text, translate, and create summaries. Fill database fields automatically with AI Autofill. -
AI integrations
Connect external AI tools and services directly to your workflows. Keep your data in sync and use the right tools where they add value.
Building with the community
Tape is community-driven. Real use cases and feedback help decide what gets built.
The last major release, relation fields in the new record experience, came from your ideas and feedback. That is how we want to shape AI in Tape, too.
Here’s what we’d love to hear:
- What use case would create the most value for your team?
- Which AI tools or setups have worked well for you?
Feel free to share anything in the comments. Ideas, examples from other tools, screenshots, videos, workflows, or early thoughts. Even if something has already been mentioned, repeating it helps us understand what matters most.
We will not build everything at once. It is important to understand the right use cases early so we can make the right decisions from the start.
Nothing is fixed yet.
The direction is there.
Now is the right time to help shape what AI in Tape becomes.
Tape will help your team roll out AI across your company in a safe and flexible way, without losing structure or control. Thanks for being part of what comes next. We’re excited about what’s ahead.