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What is Atono?

Atono is a product knowledge platform built for AI-native teams that want their AI tools to understand the product instead of guessing from incomplete context. The platform helps teams avoid the constant correction loop that happens when AI-generated specs, stories, and code are fast but not quite right. Atono gives both people and AI tools access to shared product knowledge through a Glossary, Living Stories, and AI Context. The Glossary captures a product’s vocabulary, terminology, personas, and relationships from team documentation so AI-generated work reflects how the product actually works. Living Stories keep decisions, feedback, implementation notes, usage analytics, and feature flags attached to the story instead of losing context in Slack, meetings, or disconnected tools. AI Context captures design decisions, technical investigations, and implementation changes directly on stories through Atono’s MCP server. This allows tools such as Cursor, Claude, Copilot, and other AI assistants to read the context before drafting specs or writing code. Atono supports a connected workflow from idea and roadmap through stories, bugs, flags, engagement, and search. Product teams can use it to create better first drafts, preserve scoping rationale, manage epics, find past decisions, and keep AI consistent across features. Engineering teams can use it to keep coding agents aligned, control releases and rollbacks from stories, review diagnostic context, and understand delivery trends through cycle time reports and visual timelines. By combining product glossary, living stories, AI context, MCP integrations, feature flags, engagement data, roadmap workflows, and cross-functional collaboration, Atono helps teams build software with the right context from plan to production.

What is Agile Poker?

Participants utilize Story Points to represent the effort required for each story, with their votes kept confidential until everyone has submitted their estimates. After the completion of the voting process, the estimates are revealed, facilitating further dialogue among the team. This method focuses on categorizing tasks based solely on their comparative sizes. Through a collaborative and impartial voting mechanism, the team generates initial estimates, engages in meaningful discussions, and pinpoints the most accurate estimate for each backlog item. Such an approach is particularly advantageous for teams that are distributed and prefer to estimate asynchronously while promoting a consultative estimation process. Furthermore, Async Poker can act as a gateway to the interactive phase of the estimation process. Agile Poker presents a flexible planning toolkit that includes four collaborative estimation techniques, aiding in refinement, sprint planning, PI planning, and prioritization, all tailored to the team's specific needs, past experiences, and backlog size. By implementing this process, a cooperative atmosphere is cultivated, enabling all team members to actively participate in the estimation tasks, thereby enhancing overall productivity. This inclusivity not only enriches the estimation process but also strengthens team cohesion and alignment on project goals.

Media

Media

Integrations Supported

Claude Code
Cursor
Google Chrome
Model Context Protocol (MCP)
Slack

Integrations Supported

Jira

API Availability

API Availability

Pricing Information

$19/user/month
Free Version

Pricing Information

$27.50 per month
Free Version
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

24 Hour Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training

Training Options

Documentation Hub

Company Facts

Organization Name

Atono

Date Founded

2024

Company Location

United States

Company Website

atono.io

Company Facts

Organization Name

Atlassian

Date Founded

2002

Company Location

Australia

Company Website

marketplace.atlassian.com/apps/700473/agile-poker-for-jira-planning-estimation

Categories and Features

AI Development

Not specified

AI Tools

Not specified

Categories and Features

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