ThoughtFlow THE COGNIVEX AI
Coming Soon

Your thinking.
Researched by AI.

Draw your thought process as a directed graph. ThoughtFlow researches every node with real-time web intelligence and propagates compounding context through your connections — just like a neural network.

9 Node types
5-step Research pipeline
3D Live simulation
<90s Full graph execution
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Think in graphs.
Research with AI.

Your thought structure becomes a computational graph. AI researches each node and compounds the knowledge downstream.

01

Build your thought graph

Drag 9 node types onto the infinite canvas. Connect them with typed edges — dependencies, contrasts, causality. Structure your thinking visually.

02

Watch the 3D simulation run

Your graph transforms into an immersive neural network. Glowing spheres pulse as each node is researched. Context flows through edges as particle streams.

03

Context compounds downstream

Downstream nodes receive the full accumulated context of every ancestor — getting progressively richer and more nuanced as research flows through your graph.

04

Read the synthesized output

A structured research report with per-node findings, alternate simulation paths, and a final synthesized recommendation. Cite sources, export, and share.

Built for serious thinkers.

Everything you need to externalize, research, and synthesize complex thinking.

🧠

Live 3D Simulation

When you hit Run, your 2D graph morphs into a Three.js neural network. Nodes become glowing spheres, edges become energy beams with flowing particle systems. The hero moment.

Three.js + React Three Fiber
🔗

Context Propagation Engine

Each node's research output is distilled and pushed downstream — exactly like activations through a neural network. Deep graphs produce exponentially richer outputs.

Topological execution
🌐

Real-Time Web Search

Every node generates optimized search queries and retrieves current web results via Tavily. No stale training data — your research is always fresh.

Tavily Search API
🔀

Alternate Simulation Generator

After your primary simulation completes, ThoughtFlow generates 2–3 alternate paths — identifying assumptions you missed, perspectives you didn't consider, and risks you didn't model. Your thinking, stress-tested by AI.

Claude Sonnet
📡

Real-Time Streaming

Results stream in word-by-word via SSE as AI researches each node. Watch your report write itself in real time — no waiting for a bulk dump.

Server-Sent Events
📎

File Attachments

Drag PDFs, Word docs, and spreadsheets onto datapoint nodes. ThoughtFlow extracts and incorporates your own documents into the research context.

PDF · DOCX · XLSX
🤖

Multi-LLM Support

Plug in your own API keys for Anthropic, OpenAI, Groq, or Gemini. Choose the model that fits your budget and precision needs per execution.

4 providers supported
📤

Export & Share

Export your full research report as PDF or Markdown. Generate a unique share link for each execution run. Send your thinking to anyone.

PDF · MD · Share link
🗂️

Graph History & Templates

Every graph is saved. Return, re-run, or fork previous work. Start fast with built-in templates: Decision Tree, Research Hierarchy, Investment Thesis, SWOT.

Auto-save · localStorage

Nine ways to think.

Each node type triggers a different research behavior in the AI pipeline.

Question

Web search + synthesis → direct answer with sources

Hypothesis

Finds supporting and contradicting evidence, returns a validation score

Topic

Structured overview with sub-themes and key insights

Data Point

Searches for current stats, returns verified figures

Decision

Evaluates options against upstream context, returns comparison matrix

Constraint

Filters downstream research to respect defined limits

Creative

Generates expansions, analogies, and alternatives — optimized for divergent output

Aggregator

No independent research — purely merges and synthesizes upstream outputs

Output

Terminal node — generates the final formatted deliverable from everything upstream

Your ideas rendered in 3D space.

When you click Run Simulation, the 2D canvas dissolves. Every thought becomes a glowing sphere. Every connection becomes a pulsing energy beam. The camera orbits your mind as AI researches each layer in real time.

Layer-by-layer camera auto-focus
Particle flow along context edges
Status text overlays on each node
Bloom post-processing + ambient glow
Ghost nodes for alternate simulations

5-step research pipeline.

Every node goes through the same rigorous pipeline before its output is passed downstream.

🔗

Context Assembly

Collect all upstream node outputs. Apply edge weights — high-weight edges contribute more to the merged context. Prepend user-defined global context if set. This becomes the "hidden state" the node receives before any research begins.

Python weighted merge · 2000 token cap
🔍

Query Formulation

The node prompt + assembled context is sent to Claude Haiku. It generates 2–4 diverse, specific search queries designed to maximize coverage and avoid redundancy.

Claude Haiku · query diversity optimization
🌐

Web Search

Each query is executed asynchronously via Tavily Search. Top 3 results per query are collected and deduplicated by URL. Sources are scored for quality and recency.

Tavily API · async batch · deduplication
⚗️

Synthesis

Claude Sonnet receives the node prompt, upstream context, and all search results. It synthesizes (not repeats), cites every claim, assigns a confidence score, and formats the output according to node type.

Claude Sonnet · structured synthesis · confidence 0–100%
📡

Context Emission

The full research output is distilled into a concise context payload — max 500 tokens — containing key findings, confidence level, and open questions. This payload flows to all downstream nodes.

Claude Haiku summarization · 500 token emission

Works for any domain.

ThoughtFlow is domain-agnostic. Wherever complex thinking happens, ThoughtFlow can research it.

GRAPH STRUCTURE
TopicRenewable Energy Market 2026
DataCompany X revenue last 3 years
QuestionWhat are the key risks?
HypothesisGovernment subsidies will continue 5+ years
DecisionInvest or not?

Investment thesis in under 90 seconds.

Build the logical structure of your investment case as a graph. Each node researches its piece — market dynamics, financials, risks, policy outlook — and passes compounding context to the final Decision node, which synthesizes everything into a clear recommendation.

Try this template →
GRAPH STRUCTURE
TopicTrending AI tools 2026
QuestionWhat are competitors covering?
CreativeUnique angle and hook ideas
OutputFull video script outline

Content that stands out from the crowd.

Research what's trending, what competitors are covering, then generate differentiated creative angles that combine both into a unique hook. The Output node synthesizes everything into a complete script outline ready to record.

Try this template →
GRAPH STRUCTURE
TopicEvent-driven vs REST microservices
ConstraintTeam: 3 senior + 5 mid engineers
ConstraintInfrastructure budget $X/month
DecisionWhich architecture pattern to adopt?

Architecture decisions grounded in constraints.

Define your constraints as dedicated nodes. The Decision node automatically receives your team size, budget, and technical research — generating a recommendation that's grounded in your actual context, not generic best practices.

Try this template →
GRAPH STRUCTURE
DataCost of living comparison
QuestionTech job market in the new city
QuestionSocial and cultural scene
ConstraintPartner works remotely, needs internet
DecisionShould I relocate?

Big life decisions, properly researched.

Map every dimension of a complex personal decision as nodes. ThoughtFlow researches each one and synthesizes a nuanced recommendation that weighs all your constraints — not just the easy-to-Google parts.

Try this template →
GRAPH STRUCTURE
TopicBackground literature survey
HypothesisCore research hypothesis
DataKey metrics and studies
AggregatorSynthesize findings
OutputDraft research abstract

Literature to abstract in one simulation.

Survey the existing literature, validate your hypothesis against it, gather the key data points, and synthesize them into a polished research abstract — all from a single graph execution with real cited sources.

Try this template →

Your mind, modelled as a neural network.

ThoughtFlow treats your thought graph as a computational graph — the same mathematical structure that powers modern AI.

Neural Network ThoughtFlow
Neuron / Node
A single computational unit
Thought Node
A question, hypothesis, or topic
Activation / Output
Signal passed to next layer
Research Output
AI-synthesized findings for that node
Forward Propagation
Activations flow layer by layer
Context Propagation
Research results flow downstream as context
Hidden State (RNN)
Accumulated memory from prior steps
Accumulated Context
Rich context from all ancestor nodes
Backpropagation
Error signal improves upstream weights
Alternate Simulations
AI suggests upstream improvements after seeing outputs
Network Output
Final prediction from all layers
Synthesized Report
Final output combining all terminal nodes

Start free. Scale when ready.

No credit card required. Free tier gives you real executions — not just a demo.

Free
$0
Get started immediately. No card required.
  • 5 simulations / month
  • Up to 10 nodes per graph
  • All 9 node types
  • 3D simulation viewer
  • PDF + Markdown export
  • Share links
Start free →
Team
$49/mo
For consulting teams and research organizations.
  • Everything in Pro
  • Up to 5 team members
  • Collaborative graph editing
  • Shared template library
  • Team dashboard
  • Priority support
  • Usage analytics
Get Team →

Stop thinking alone.

Build your first thought graph in minutes. ThoughtFlow researches every node, compounds the context, and synthesizes a report that follows your exact reasoning structure — not a generic AI answer.