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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Atono is a product knowledge and workflow platform designed to help AI tools, product teams, and engineering teams work from the same product context. The platform addresses the problem of AI-generated specs, stories, and code being close but inaccurate because the AI lacks product-specific terminology, decisions, and implementation history. Atono builds product knowledge through three layers: a Glossary, Living Stories, and AI Context. The Glossary captures the product’s vocabulary, concepts, personas, and relationships from existing documentation so AI tools use the right terminology. Living Stories keep decisions, feedback, implementation notes, usage analytics, and feature flags attached to each story as the product evolves. AI Context captures design decisions, technical investigations, and implementation changes through Atono’s MCP server so tools like Cursor, Claude, and Copilot can continue from prior sessions. Teams can use Atono to plan, build, deploy, and measure work from the same story while keeping requirements, code context, release controls, and engagement data connected. The platform can operate as an intelligence layer alongside Jira, Linear, or an existing stack, or as a full platform that replaces project management, feature flag, and analytics tools. By combining product knowledge, AI context, stories, feature flags, analytics, MCP integrations, and cross-functional workflows, Atono helps teams make AI output more accurate and product work more connected.

Description

LiveContext serves as a platform for AI-driven workflows and agents, enabling users to describe a job in chat, after which the AI generates a visual representation of the workflow, complete with triggers, over a thousand API integrations, tables, decisions, loops, and agent steps. While the model constructs the workflow, it refrains from executing it, ensuring that the processes remain predictable, more economical in token usage, and fully transparent. To incorporate decision-making, users can introduce an AI agent node equipped with specific tools and a defined budget for spending. These workflows facilitate the creation of compact web applications that your team can utilize, operating on schedules, responding to webhooks, processing forms, or interacting via chat, and they are also accessible to other agents as tools. The platform includes built-in tables for data storage, with each execution meticulously traced from node to node, and every agent maintains its own performance metrics and credit allocation. Furthermore, LiveContext makes its workflows, tables, and integrations available through an MCP server, enhancing its versatility. It is offered as a cloud-based service featuring a free plan, alongside a self-hosted Community Edition, which is open-source and adheres to the LiveContext Sustainable Use License, ensuring users have flexible options for deployment and usage.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

No images available

Integrations

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

Integrations

Claude Code No 
Cursor No 
Google Chrome No 
Model Context Protocol (MCP) No 
Slack No 

Pricing Details

$19/user/month
Free Trial No 
Free Version Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux Yes 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) Yes 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Atono

Founded

2024

Country

United States

Website

atono.io

Vendor Details

Company Name

LiveContext

Country

France

Website

livecontext.ai

Product Features

Agile Project Management Tools

Backlog Management No 
Feedback Management No 
Gantt/Timeline View No 
Kanban Board No 
Prioritization No 
Request Management No 
Resource Management No 
Retrospectives Management No 
Status Tracking No 
Supports Scrum No 
Team Management No 
Template Management No 
Workflow Management No 

Alternatives

Alternatives

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