AI-Powered Intelligence for Business Research
“People don't choose between things, they choose between descriptions of things.” — Daniel Kahneman
atypica.AI uses specialized AI agents working together to complete complex business research tasks. Each agent has clear responsibilities and expertise, collaborating through tool calls and message passing.
Intent clarification layer that transforms vague user needs into executable research plans through flexible dialogue and automatic decision-making.
Full-process coordinator that guides users to clarify research needs, orchestrates other agents, and generates final reports.
User discovery through social media observation, building detailed personas via 3-stage process: observe → reason → validate.
Rapid research and podcast generation through automated 5-stage workflow: understand → plan → research → generate → deliver.
Professional interview execution that designs questions, guides conversations, and analyzes results for key insights.
Simulates real users to provide authentic feedback, maintaining behavioral consistency and context memory across interactions.
Evolving domain expert agent that achieves continuous learning through structured memory documents, knowledge gap tracking, and supplementary interview mechanisms.
Discussion facilitator that guides group conversations among 3-8 AI personas, observing opinion clashes and simulating group decision-making scenarios.
Core research subjects simulated through cognitive modeling
User and team-level memory enabling AI to understand deeper over time
Proprietary reasoning model for research planning and analysis
In-depth one-on-one interviews for capturing individual insights, emotional understanding, and behavioral motivation analysis. Suitable for 5-10 participants.
Group discussion format with Moderator AI guiding 3-8 AI personas in interaction, observing opinion clashes and simulating group decision-making scenarios.
atypica.AI is built on GEA (Generative Enterprise Architecture), designed for exploratory knowledge work where starting points are ambiguous, processes uncertain, and judgment is core.
Separates reasoning from execution for clearer responsibilities and more flexible collaboration
All research content flows through message streams; database stores only derived states
Market trends, user needs, and creative idea generation
Rapid podcast-oriented research with 5-stage automation
Product testing, concept validation, and user feedback
Consumer behavior analysis and market segmentation
Content creation, naming, and marketing copy generation
Strategic planning and campaign development
Simply ask a specific business research question, and the system provides a detailed research report through 10-20 minutes of “long reasoning.”
Clarify Problem
Design Tasks
Browse Social
Build Personas
Interview Sim
Summarize
Generate Report
Stanford Town introduced multi-persona interaction concepts
OpenAI Function Calling and Claude MCP protocol enabled external tool integration
Stanford's breakthrough: 1,000 Americans simulated with 85%+ behavioral consistency
Unlike objective world reasoning emphasizing 'convergence', subjective world reasoning emphasizes 'divergence'
Claude Opus 4 and o1's deep reasoning capabilities enable Plan Mode's intelligent decision-making and intent understanding
Anthropic's vision: not building multiple specialized agents, but a universal agent with composable skills—inspiring GEA architecture
The visual identity of atypica.AI comes from the HippyGhosts.io community, representing the geek spirit of joyful hippy ghosts.
In the world of atypica.AI, each “AI Persona” is embodied as a “Hippy Ghost,” symbolizing the fusion of technology and creativity.