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AI Agent Research in Alice AI for analysis

AI agent “Research” in neural network “Alice AI” automates data collection and analysis, generates code for calculations. Available on all Yandex platforms, showed 280k researches in beta with high retention.

Research: Alice's AI analyst for complex tasks
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AI Agent "Explore" in Alice AI: Automating Comprehensive Data Analysis

The AI agent "Explore" is now integrated into the Alice AI neural network chat on the alice.yandex.ru website, in the "Alice AI", "Yandex with Alice AI", and "Yandex Browser" apps. Every user can launch an analysis without additional setup. Alice Plus subscribers get priority processing and a limit of up to 10 studies per month.

The agent handles tasks from financial modeling to verifying data processing algorithms. Instead of hours or days of manual data collection, the process takes just minutes.

How the Agent Works

The user enters a query — the agent creates a research plan, asks clarifying questions, and independently collects data from open sources. This is followed by the stage of cross-referencing information, fact-checking, and synthesizing it into a structured report.

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Key stages:

  • Automatic Search: scanning websites, documents, and user files.
  • Analysis and Verification: cross-checking sources to eliminate errors.
  • Calculations with Code: generating and running scripts for data processing.

If quantitative analysis is required, the agent writes code in Python or similar languages, runs it, and interprets the results. This allows testing hypotheses without a local development environment.

Example workflow: a market assessment query leads to a plan with steps for gathering data from 5+ sources, statistical analysis, and visualization.

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Beta Testing Results

Over three months of the beta version, more than 280,000 studies were conducted. Return statistics:

  • 50% of users returned within a week.
  • 25% returned the next day after their first use.

Tasks covered data science, business analytics, and forecasting. The agent demonstrated resilience to complex scenarios involving large data volumes.

Use Cases for Developers and Analysts

The agent is ideal for tasks requiring integration of heterogeneous data:

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  • Business Analytics: analyzing market trends with investments and timelines in mind. For example, modeling an infrastructure modernization program with cost forecasts up to 2035.
  • Financial Planning: budgeting that accounts for operational expenses and growth scenarios. Example — an annual plan for a small business with break-even analysis.
  • Career Development: researching the job market for tech stacks, factoring in experience and global trends in DevOps, ML, or backend.
  • Data Validation: checking algorithm performance on real datasets without manual coding.

For mid/senior specialists, it's a tool for rapid hypothesis prototyping. The agent generates reproducible code that can be exported for production.

Technical Features

Integration with internet search provides access to up-to-date data. Fact-checking minimizes hallucinations typical of LLMs. Support for user files enables analysis of private datasets.

Limits for basic users are queue-based, without strict restrictions on complexity. Plus offers expanded quotas for heavy usage.

Key Takeaways

  • The AI agent speeds up data analysis from hours to minutes via an automated pipeline.
  • Code generation and execution for verifying calculations without local development.
  • High retention: 50% returns within a week based on beta data.
  • Applications in data science, finance, and business analytics with real-world examples.
  • Available to all Alice AI users on key platforms.

— Editorial Team

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