Ask about your project. Turn answers into issues, plans, and progress.
All in the workspace where your team builds.
Issues. Sprints. People. The decisions behind the details. Bring your project into the conversation and get from scattered information to a clear next move.
Bring the exact work into the conversation. A project, an issue, a person. Less explaining the background. More getting somewhere.
The invite link works. The expired-link recovery still needs a fix before this can ship.
Return to earlier threads, give them a name, and favorite the ones worth keeping.
Scattered issues, sprint goals, and team conversations. Bring the pieces into one shared context.
Find the blocker. Shape the next step. Turn what you know into work that moves forward.
Turn an issue into smaller steps. Shape a sprint from a goal. Generate test cases from a requirement. Give a good idea the structure to become real work.
The next step looks different at every stage. Start with what you know. Let AI help with what comes next.
Describe the project you have in mind. Review a suggested hierarchy of epics, stories, and tasks, then choose what belongs in your backlog.
AI-generated issues based on your project description
YOU CHOOSE WHAT MOVES FORWARDA project description becomes a proposed issue hierarchy. You choose the issues to create.
Make the spec sharper and the sprint easier to understand. AI assistance lives inside the moments where a little clarity makes all the difference.
We want to make it easier for new team members to get started, so they can spend less time figuring out the workspace and more time doing meaningful work.
Help new teammates find their feet and get to meaningful work, faster.
Refine or translate a passage in an issue or document. Compare the suggestion, then accept it or keep both.
4 tasks are in progress. 2 blockers need attention.
Ask for a chart of project data. See the values, spot what matters, and refine the question in the same conversation.
Fix grammar. Improve writing. Change the tone.
Shorten the update. Expand the thought.
Summarize or explain a passage. Insert clarity alongside the original.
Translate into 20 languages, including Hindi, Spanish, and Japanese.
Find the thread in a rough draft. Shape the words, check the meaning, and give your team a clear way forward.
When the same question comes around again, give it an agent. Set an objective and a schedule, then return to the result and its execution history.
Meet leera Agents
Summarize open blockers
Every day, 9:00 AM
Review the execution history
Choose the AI provider and model behind your workspace.
Bring your own modelBring individual team updates into one coordinated report.
Explore coordinationReturn to your conversations, charts, and generated reports.
Explore reports & chartsThe practical details
leera AI brings intelligence into your project workspace. Ask about issues and sprints, turn requests into work, generate charts, and refine the details in documents and comments. Shape subtasks, sprint tickets, and test cases from the work already in view. For recurring work, give an agent an objective and a schedule.
Your workspace needs an available AI provider with an enabled model. If none is configured, the app shows a setup notice. A workspace or instance administrator can configure the provider; the options available to you depend on your deployment and access.
Choose Fast for quick answers, standups, and status updates. Choose Thinking for more complex questions such as sprint planning, retrospectives, or trade-offs. Both modes are selected in the chat composer alongside the project.
Chat uses the selected project and your conversation; use issue or team-member mentions to make a request specific. Comment AI Assist includes the issue details, existing comments, recent activity, and your draft. Editor actions work from the selected passage. Available project data and tools depend on the workflow and access granted.
In AI Subtask Suggestions, edit and select suggestions, then choose Create Tasks. Comment AI Assist inserts a draft into the composer; you still post it with Comment. In the editor, Accept replaces the selection and Add Below keeps the original. Chat and agents can use enabled tools to create or update records; those tool actions can make changes directly, so review the enabled tools and the resulting records.
Yes. Ask in chat for a chart, naming the project, period, and metric. Chart results can include interactive values and a written explanation. Follow up in the conversation to refine the question, or reopen generated charts from the Charts view.
Chat is an interactive conversation. For recurring work, configure an AI Agent with an objective and schedule, or run it manually. Execution history lets you inspect its status and output. Coordination is a separate workflow for gathering updates from participants.
Yes. Project creation can propose an issue hierarchy from the project description; select the issues to add. Create New Sprint includes Suggest Tickets based on a Sprint Goal; remove unwanted suggestions before creating the sprint. In an issue’s test cases, Generate test cases proposes steps and expected results for you to select and save to the QA repository. These entry points depend on the modules and AI configuration available in your workspace.
OpenAI, Anthropic, Google Gemini, and Vertex AI — plus any OpenAI-compatible endpoint. On self-hosted instances you plug in your own API keys and test the connection from settings.
AI requests are processed by the provider configured for your deployment. Review the provider’s applicable data processing and retention terms, your account settings, and any requirements for sensitive project information.
No. These interactive examples use sample project data to demonstrate the controls and review steps. They do not call an AI model, create real issues, post comments, or configure agents.
From your first question to your next breakthrough. Make it happen with leera AI.
The next reply.
Already taking shape.
The issue, the discussion, the latest activity, and your draft. AI Assist brings them together so your next comment starts somewhere useful.
Draft a reply, summarize what happened, find next steps, or thank the team.
Insert the suggestion into your draft. Edit it, then post when you’re ready.
The invitation flow is ready. We still need a recovery step when someone opens an expired link.
Thanks, Alex. Let’s add a clear recovery step for expired invitation links before release. Once that is ready, we can recheck the full onboarding flow.