This post details how Asana built a custom LLM evaluation framework to improve the effectiveness and reliability of its AI Teammates. It focuses on the technical challenges and solutions involved in evaluating large language models for agentic AI applications, ensuring they meet performance and safety standards.
8/7/2026
This post describes the technical approach Asana took to build a custom LLM evaluation framework for their AI Teammates. It details the design of the framework, the metrics used for evaluation, and the challenges encountered in assessing LLM performance in the context of work management agents. The post highlights the importance of rigorous evaluation for ensuring the safety, reliability, and effectiveness of AI agents.
6/2/2026
This post introduces Asana's Agentic Work Management, a unified platform for AI-driven productivity. It details the components: AI Teammates (prebuilt agents), AI Studio (no-code automation), Asana Dash (AI Chief of Staff), and AI Connectors/MCP (integration with external AI models like ChatGPT, Claude, Gemini). It highlights the Work Graph as the central data model for these AI capabilities and emphasizes Asana's commitment to responsible AI practices, including data privacy and security with AI partners.
5/14/2026
This post details the introduction and capabilities of Asana's AI Teammates, focusing on their integration into the Asana Work Graph. It highlights features like shared memory, governance, and contextual understanding derived from the Work Graph. Specific examples of AI Teammates, such as the 'Launch Planner,' are provided to illustrate their functionality in transforming project goals into actionable timelines and managing dependencies. The post also touches upon the underlying AI platform and its role in enabling these agents to work collaboratively with human teams.
4/8/2026
This post introduces Asana AI Teammates, a new capability designed to help organizations work smarter. It provides a high-level overview of the feature and its potential impact.
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This post details the AI's capability to draft SMART goals from a plain description, enhancing the goal-setting process within Asana. It also touches upon connecting goals to data through integrations and using templates for goal standardization.
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Introduces Asana Dash as an AI Chief of Staff, detailing its capabilities in surfacing priorities, summarizing changes, and integrating with other tools and teams. It highlights how Dash proactively identifies blockers, suggests actions, and can delegate tasks to AI Teammates, while emphasizing user oversight in approvals. The post also outlines the target audience and availability of Asana Dash.