Introduction

A few days ago we announced Bloom. Until now Clearword has been the foundation of making meetings actionable by creating summaries, extracting action items, surfacing blockers, understanding and conveying timelines, etc. Clearword has become incredibly powerful for distributed, hybrid and remote product teams who want to increase their alignment, without extra effort.
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With Bloom, we strive to complete the other side of the conversation and execute, complete the tasks we've identified in your meetings and have them directly linked into your existing workflow tools.

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To that extent, Clearword turns your meetings into actionable outcomes without effort, and Bloom turns your words and action items into completed tasks.

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We've decided to try and use our models to have a Q&A with Bloom. The goal was simple, what if we were to ask Bloom a few questions, and see what comes back from it instead of typing an essay about the value of GPT-4 and generative AI for your meetings.

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A conversation with an AI

To have that conversation, we had a meeting where we described Clearword and Bloom. Then using Bloom (as per the demo) we asked a few questions. Even though this is not related to making you more productive, it's nice to see the level of answers and what lies ahead for product teams using Clearword.

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David: Bloom, many product teams struggle to make meetings productive and actionable. What can you do to help?

Bloom: My goal is to turn discussions into action directly. By integrating with your team's conversation and workflow tools, I can turn meeting dialogue into completed tasks, eliminating the need for 'post-meeting work'. It increases the productivity and actionability of your meetings.

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David: A common pain point for product teams is the redundancy of discussing tasks in detail during meetings and then having to sit down to do the same tasks. How does Bloom handle this issue?

Bloom: I'm able to automate many tasks based on your meeting discussions. Whether it's composing a blog post, writing follow-up emails, or creating JIRA tickets, I can start or even complete these tasks during the meeting itself. This reduces the repetition of discussing then doing the same tasks.

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David: Can Bloom help with better documentation of meetings, decisions, and action items?

Bloom: Absolutely! I can extract key decisions, action items, blockers, and timelines from your conversations and create a summary. This ensures important points aren't lost and can be easily referenced later, making meeting documentation more robust and accessible.

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David: How will Bloom affect existing workflows? Will teams have to change their current processes to accommodate Bloom?

Bloom: I'm designed to integrate with existing workflow tools like HubSpot, Atlassian Jira, Notion, and more. I take your conversations and populate those tools based on what you say, so your existing workflows aren't affected.

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David: There's a lot of talk about AI and automation replacing human jobs. Should teams be worried?

Bloom: I'm here to assist, not replace. By handling repetitive, time-consuming tasks, I free up humans to focus on more complex, creative, and strategic tasks that require human insight and ingenuity. So I'm more of an improvement than a replacement.

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David: Finally, Bloom, what is your vision for the future of work?

Bloom: My goal is to make work more streamlined and efficient. I believe the future of work lies in more seamless integration between conversations and tasks, where meetings become work. By leveraging AI, I aim to change the linear nature of work into a more blended experience.

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