Not a chatbot. A thinking machine.
The Reactor replaces the open chat window with guided workflows powered by 200+ strategy frameworks. Well-founded analyses in minutes instead of days — steerable at every step.
Where conventional chatbots fall short.
Three weaknesses that better prompts can't solve.
AI always says yes
SycophancyEnter a half-baked idea into a chatbot — it will praise it. The problem: good strategy needs pushback, not confirmation. Without challenge, there's no quality control.
Lots of text, little substance
The blank canvas problemA blank input field leaves all the thinking to you. The result: nice-sounding text with no real content. Instead of working strategically, you spend your time correcting generic AI output.
Not traceable
The black boxOpen chat threads can't be audited and don't deliver reliable results. When real business decisions are at stake — price negotiations, scope clarifications, risk assessments — a chatbot hits its limits.
You bring the problem. The Reactor delivers the plan.
Choose a ready-made pipeline, enter your context — the Reactor handles the cognitive architecture. Every step is traceable and repeatable.
In the Reactor, there's no blank input field. Instead, you choose a ready-made pipeline (called a Recipe) that breaks your task into individual steps.
Each step is handled by a specialized AI model — one for analysis, one for creativity, one for research. The result is something you can trace step by step.
No open chat window
Every task has a clear workflow — no free association, but guided steps.
Multiple AI models, one pipeline
Different models handle different tasks — analysis, creativity, and research are separated.
Full transparency
At every step, you see which model is working, which method is being used, and how the result was produced.
What stands behind the result.
The Reactor makes every step traceable — from the model's reasoning process to automated quality checks. Activatable on demand, never in the way.
The Critic
A second AI agent reviews every response for logical errors, bias, and missing perspectives. The result appears as a compact audit directly below the answer.
Reasoning Trace
In workflow recipes, multiple agents work invisibly in the background. The Reasoning Trace makes every intermediate step visible — transparent instead of black box.
Show Thinking
Reasoning models like DeepSeek R1 think deeply before answering. 'Show Thinking' makes this internal process visible in real time. ⚠️ Note: Currently, only open reasoning models (like DeepSeek R1) fully support this. Proprietary models (Anthropic, Google) often encrypt or block their raw thought process via APIs. ⚠️ Tab Freeze: For extremely long reasoning streams, avoid putting the active browser tab in the background. Browsers heavily throttle inactive tabs, which can cause a rendering bottleneck (a freeze of several seconds) when returning to the tab.
Circuit Breaker
When the pre-processor detects that inputs are too vague or contradictory, the workflow pauses automatically and asks for clarification — instead of passing through flawed results.
Test it with your own problem.
Three typical tasks from everyday work — directly in the Reactor.