When it comes to AI tools, chatbots are often the first thing that comes to mind —conversation-based interfaces for users to write queries and receive responses. These dialogue interfaces are certainly useful, but they aren’t always the best fit for handling our everyday work. Often tacked on to the side of our workflows, chatbots supplement our processes, but often add quite a bit of friction as well.
The next wave of AI tools is now immersing autonomous actions into our daily work. Today, we’re excited to introduce you to Height.app, an autonomous project management tool that takes work off your plate instead of adding to it. Height uses real-time context from your team’s interactions and workspace data to handle tedious tasks on your behalf, like triaging bugs, updating specs, cleaning up your backlog, and more.
Height has a suite of LLM-based features for all the time consuming project management scripts we handle on day-to-day basis. Let’s walk through a few below:
1. Real-time edits to product documentation
As you’re building a feature, product documentation rarely ever stays the same. New ideas emerge, blockers arise, and scope is inevitably redefined. Accounting for each of those spec changes is remarkably tedious, especially in fast-moving projects. Height looks at these situations granularly, treating each message, whether an idea or blocker, as an event, and those events as contextual information for how an LLM should take action.
By analyzing your team’s project conversations as they unfold inside the app, Height is able to discern when your team raises questions and decisions are made. Then, it maps those identified outcomes back to your product documentation, adding necessary context and updates without you having to lift a finger.
2. Autonomous backlog grooming
Staying on top of a backlog feels like a never-ending chore. Tickets are often created without anyone else knowing, and rarely are the appropriate tags applied with consistency. But inside of every filed ticket is contextual data, like name, description, and chat messages, all of which an LLM can use to infer the feature being referenced inside the ticket and what completing it may entail.
Height recognizes when tickets are added to the backlog, and then uses the contextual data of each ticket to apply appropriate tags on your behalf. From feature tags to time estimates, and even impact type, Height proactively keeps your backlog organized — so it’s easy for you to find the improvements and requests worth pursuing next.
3. Live project updates
Whether you’re building a new feature or updating your website, tracking completed tasks and open questions requires overwhelming mental effort. But for large and collaborative initiatives, it’s especially important to keep everyone aligned on what’s progressing and what’s blocked. Conveniently, most of the project information you need to track — status changes, discussions between teammates, and blocked tasks — is contextual data that LLMs can parse through and make sense of in an instant.
Height processes all of this project data to create a cadenced regular report of how the project is progressing and what’s left to work on. Instead of manually sifting through activity to write your own updates, Height provides a detailed summary of what’s happened, the tasks in progress, and what’s left to accomplish (as well as any flagged blockers).
Height’s core philosophy is that AI should reduce friction, rather than add layers of complexity. With an intentional approach to making project data accessible to LLMs, Height is moving beyond traditional chatbot implementations, focusing instead on realtime context processing to drive intelligent automation. The result is a tool that handles all of the frustrating pain points of managing projects, so you can focus on building.
How to get started with Height 2.0
Getting started with Height is easy.
- Go to Height.app.
- Tap the sign-up button and create a workspace for your team.
- Follow along with the interactive onboarding to get started easily.
Thanks to Height Team for the thought leadership/ Educational article. Height Team has supported us in this content/article.
Asif Razzaq is the CEO of Marktechpost Media Inc.. As a visionary entrepreneur and engineer, Asif is committed to harnessing the potential of Artificial Intelligence for social good. His most recent endeavor is the launch of an Artificial Intelligence Media Platform, Marktechpost, which stands out for its in-depth coverage of machine learning and deep learning news that is both technically sound and easily understandable by a wide audience. The platform boasts of over 2 million monthly views, illustrating its popularity among audiences.
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