Introducing Scripta: the workspace that starts when the meeting ends
Meetings rarely fail because nobody took notes. They fail because the decision, the task, the file and the follow-up conversation all leave the room in different directions.
Today we are introducing Scripta.
Every meeting starts with good intentions. People arrive with a problem to solve, leave with a direction, and expect the work to continue.
Then the meeting ends.
The notes sit in a document. A task is copied into another tool. The file someone promised lives in a chat thread. A follow-up question starts a new conversation without the context that produced it. By the next meeting, the team remembers the shape of the decision but not the reasoning, the owner or the exact commitment.
We think meetings deserve a better afterlife.
Scripta is an AI workspace that turns meeting notes and transcripts into a connected place for the work that follows: minutes, decisions, action items, files and discussion.
The problem is not the meeting
Most meeting tools focus on what happens during the call. They help people join, record, transcribe or summarize the conversation.
Those are useful jobs. But they stop at the point where another kind of work begins.
After the call, somebody still has to separate a decision from the discussion around it. A commitment still needs an owner and a date. The document mentioned in minute thirty-seven still needs to reach the people doing the work. Questions still need answers without losing the meeting context.
A transcript cannot do those jobs by itself. A summary helps someone remember the conversation, but remembering is not the same as following through.
The same four outputs, in the two places they can live: scattered across tools that never reference each other, or attached to the meeting that produced them.
One meeting, one connected workspace
Scripta starts with the material your team already has. Paste a transcript or bring in rough notes; no additional bot needs to join the call.
AI helps turn that material into a structured meeting record. Instead of leaving every outcome buried inside prose, Scripta keeps the parts that behave differently visible in their own right:
- Meeting minutes that explain the context and what was discussed.
- Decisions with the reasoning and date attached.
- Action items with an owner, due date and completion state.
- Files kept beside the meeting that gave them meaning.
- Comments that continue the conversation where its context already lives.
- Meeting history that can be filtered and searched instead of reconstructed from memory.
These are not six unrelated features. They are six parts of the same record.
Not six features — six parts of the same record. The decision keeps its reasoning, the commitment keeps its owner and date, and the file and the question stay beside the meeting that gave them meaning.
When an action item remains connected to the discussion that produced it, the owner can understand why it matters. When a decision retains its reasoning, a new teammate can inspect the call without scheduling another one. When a file and a question live beside the minutes, there is one obvious place to return.
AI should prepare the work, not make it unquestionable
Generated minutes are a starting point, not an instruction the team must accept.
Meetings are full of ambiguity: tentative dates, interrupted sentences and ideas that sound like commitments until someone reads them the next morning. A polished AI sentence can hide that uncertainty.
Scripta is designed around review. The team can inspect the output, correct what the AI misunderstood, and then share or act on the record. Consequential items such as decisions, owners and deadlines deserve that human check because those are the parts that change what people do next.
Everything the AI finds arrives as a proposal carrying the transcript line it came from — checked against the source, not taken on trust. A person adds it to the record, or doesn't.
This principle matters more to us than generating the longest summary. The goal is not to make AI sound certain. The goal is to make the team's real agreement easier to see and use.
That is also why we believe AI meeting notes should show their work. Trust grows when an important output can be checked against the conversation behind it.
Sharing should not break the context
Meeting work often crosses the company boundary. Agencies work with clients. Product teams work with research partners. Founders send decisions to advisers and investors.
The usual solution is another exported document or a recap email. The moment it is sent, it begins drifting away from the working record.
Scripta lets a team share meeting minutes through a controlled link, with access appropriate to the recipient. A client can read the outcome without joining the internal workspace. A collaborator can comment where the relevant context lives. The owner can protect or revoke access rather than treating an attachment as permanent.
The minutes travel as one live link with a passcode — a client reads the outcome, a partner comments in context, and the owner can revoke it, which no emailed attachment allows.
One current link is more useful than three attachments that became outdated at different times.
The work after a meeting should not be harder than the meeting
Scripta is built around a simple idea: the work after a meeting should not be harder to manage than the meeting itself.
Today that means helping teams turn their notes and transcripts into structured minutes, visible decisions, owned action items, attached files, contextual comments and a meeting history they can return to.
Over the coming weeks, we will share more about how we think meeting records should work: how decisions survive, why tasks need owners and dates, where AI needs human review, and how teams can keep follow-up from disappearing between tools.
This is only the beginning. But the standard is already clear to us.
No more asking who owns the next step when the meeting already answered it. No more hunting for the document everyone remembers seeing. No more reopening a decision because its reasoning vanished.
If your team spends hours every week rebuilding context and chasing follow-up after meetings, we would like to hear how you work today.