Ask better questions, diagnose hypotheses, and turn thinking into reusable knowledge.
ThinkNavi is not just another AI chat interface. It asks questions, examines the persuasive strength of your hypotheses, refers to past conversations and knowledge bases, and helps you refine ideas, business concepts, corporate philosophy, and strategic assumptions.
By combining thinking-support chat, hypothesis diagnosis, Auto Research, Concept Map, and LLM Wiki, ThinkNavi is designed to turn one-off conversations into a growing body of thinking history and knowledge assets.
Use it for business vision, product planning, hypothesis testing, strategic thinking, knowledge reuse, and research workflows.
The AI does not only answer. It asks questions back.
Most AI chats respond to what the user asks. ThinkNavi goes further. It asks questions that help clarify your assumptions, purpose, evidence, counterarguments, and next actions.
It is also designed not to simply agree with the user. When needed, it provides objective advice, points out weaknesses, and encourages a more balanced view. It can support both executive-level decision making and practical problem solving.
Diagnose the persuasive strength of a hypothesis, not whether it is absolutely correct.
ThinkNavi’s Hypothesis Diagnosis can be used for products, services, business ideas, corporate philosophy, strategic assumptions, and other concepts. It does not claim to judge whether a hypothesis is ultimately true or guaranteed to succeed. Instead, it examines how much conviction, evidence, specificity, and readiness for counterarguments the hypothesis has.
Persuasive strength of ideas
Check whether the idea clearly explains whose problem it solves, why it matters now, and what evidence supports it.
Evidence and structure
Organize facts, experiences, customer understanding, business context, and technical feasibility behind the hypothesis.
Detection of assumptions
Examine whether the hypothesis depends on convenient interpretations, ignores opposing views, or lacks alternative explanations.
Iterative refinement
Revise the hypothesis based on diagnosis results and run another diagnosis to make the concept more persuasive.
Corporate philosophy and strategy
Review corporate philosophy, business direction, customer value, and differentiation axes as assumptions behind management decisions.
Product and service planning
Use it to examine new products, new services, web services, AI use cases, and other ideas before moving to market.
Hypothesis Diagnosis is not a final truth judgment.
ThinkNavi does not guarantee that a hypothesis will succeed in the future or that it is absolutely correct. What it can evaluate is whether the hypothesis is explainable, supported by evidence, concrete enough, and resilient against counterarguments at the current stage.
Diagnosis results should therefore be used not as final decisions, but as material for reviewing and improving ideas from a more objective perspective.
Refine a hypothesis, research it, and see its position in a conceptual map.
ThinkNavi does not stop at chat-based thinking. By combining Hypothesis Diagnosis, Auto Research, and Concept Map, it supports a workflow from idea examination to competitor research and market-position analysis.
Grow a user-specific thinking model from chat history.
ThinkNavi aims to learn a conceptual structure model from your chat history and help identify angles of thinking you may have overlooked. This is not merely conversation search. It is a mechanism for making past thinking reusable.
Reuse of thinking history
Recover hypotheses, issues, insights, and decision criteria buried in past conversations and reuse them in new consultations.
Discovery of missed perspectives
Examine whether you always think from the same angle and whether past discussions or neighboring conceptual regions offer useful hints.
Connection with knowledge bases
Combine personal thinking history with LLM Wikis and organizational knowledge bases to connect individual reasoning with institutional knowledge assets.
Core functions of ThinkNavi
ThinkNavi combines thinking support, hypothesis diagnosis, research, concept mapping, and knowledge bases to turn ideas into reusable knowledge assets.
Thinking-support chat
The AI asks, challenges, organizes, and supports dialogue that helps the user think better.
Hypothesis Diagnosis
Diagnose the persuasive strength of products, services, business ideas, corporate philosophy, and other concepts.
Auto Research
Collect and organize competitor concepts, news, papers, patents, and other information related to a research theme.
Concept Map
Visualize collected data and free-text information as a conceptual structure model and explore clusters and nodes.
LLM Wiki / Knowledge Base
Build an LLM Wiki for each document and use it as a knowledge base or AI concierge.
ConceptMiner integration
Use GNG+MST conceptual structure models to gradually integrate multiple Wikis, research data, and thinking history.
For management, planning, research, consulting, and personal thinking.
ThinkNavi is not just for getting answers. It is a workspace for improving how problems are framed, how hypotheses are refined, and how knowledge is reused.
Management and business vision
Organize corporate philosophy, business direction, new ventures, customer value, and differentiation strategy as hypotheses to be refined.
Product and service planning
Diagnose new product or service ideas, then use Auto Research and Concept Map to examine their position in the market.
Research and investigation
Organize research themes and understand issues, prior research, technology areas, patents, and news as conceptual structures.
Consulting support
Structure client hypotheses, problems, and business ideas through dialogue, then connect them to research, analysis, and proposals.
Learning and self-analysis
Organize your thinking style, interests, decision criteria, and learning themes for long-term intellectual development.
Knowledge reuse
Use past chats, documents, research results, and Concept Maps to support future decisions and planning.
ThinkNavi is the thinking-support interface of the ConceptMiner product family.
ConceptMiner builds conceptual structure models. Knowledge Base Builder turns document knowledge into LLM Wikis. Auto Research collects research data. Concept Map visualizes conceptual spaces. ThinkNavi connects these capabilities to human thinking, hypotheses, and decision making.
Over time, ThinkNavi aims to connect chat history, LLM Wikis, Concept Maps, and episode cards into a memory layer that supports the judgment of users and organizations.
Do not let your thinking disappear into one-off chats.
ThinkNavi is an AI workspace for asking, diagnosing, researching, mapping, and preserving ideas as knowledge. Use it to refine business ideas, corporate philosophy, product concepts, research themes, and strategic hypotheses into more persuasive forms.