9. Research & Analysis

Analyzes competitor advertising content across major platforms to uncover messaging, creative patterns, and campaign strategies for market research.

Conducts multi-perspective analysis by running parallel agent sessions with distinct prompts, aggregating results to identify gaps, patterns, and friction in complex scenarios.

Guides structured research investigations through the HYPOTHESIZE->EXPLORE->CONCLUDE workflow with phase-specific tooling for efficient discovery.

Systematically gathers source material including GitHub history, session transcripts, code examples, and screenshots for the research phase of blog article creation.

Designs interview questions to elicit authentic insights and stories using UX research and motivational interviewing techniques.

Executes web searches via Gemini CLI for technical information, news, and research topics upon user request.

Performs autonomous web research, extracting structured data for company information, competitive analysis, and market insights without requiring specific URLs.

Extracts video transcripts and metadata from YouTube for research, content analysis, and information gathering purposes.

Creates guided conversation frameworks for insight elicitation during physical walks, leveraging embodied cognition to capture reflective and tacit knowledge.

Conducts structured web research to gather and analyze comprehensive online information for informed decision-making.

Structures technical research initiatives by entering dedicated planning mode for systematic information gathering and analysis.

Conducts systematic literature reviews across biomedical and scientific domains, generating professionally formatted markdown/PDF documents with verified citations in multiple styles.

Provides Google-powered web search capabilities for information gathering, triggered by natural language search queries like 'search for...' or 'what's the latest on...'.

Queries knowledge graphs to retrieve past learnings, patterns, and mistakes for informed feature implementation decisions.

Provides market intelligence, competitive analysis, and technical evaluations to support technology decision-making and strategic planning.

Analyzes financial charts using technical patterns like Elliott Wave and Fibonacci to identify trading signals and calculate technical levels.

Conducts competitor analysis, sentiment monitoring, and user research to gather market insights for Leavn's strategic decision-making.

Fetches and summarizes authoritative external sources into actionable guidance using MCP helpers for researcher agents.

Analyzes AI topic hype by comparing researcher enthusiasm with critic skepticism to identify overhyped, underhyped, or accurately assessed areas.

Analyzes multiple sources of claims on AI research topics to identify consensus, disagreements, and emerging narratives, including hype levels.

Interactive tool for conducting research interviews focused on journal reflections, covering key sub-questions in workflow, authorship, iteration, failure, and aesthetics.

Extracts and analyzes technical articles, videos, and papers from 50+ sources including GitHub, Stack Overflow, and arXiv for trend analysis and knowledge updates.

Gathers current, well-sourced internet information to inform technical decisions, including API docs and library patterns for feature planning.

A framework for decomposing complex problems into foundational truths and constructing auditable, evidence-based solutions.