chapter six

6 ReAct and deliberate reasoning

 

This chapter covers

  • Challenging narrative dominance
  • Looping reasoning with evidence
  • Testing before committing
  • Defining disconfirming signals
  • Updating decisions deliberately

Good decisions can feel solid simply because the story behind them holds together. The logic is clear, the steps connect, and the conclusion appears inevitable. In AI systems, fluent reasoning can appear convincing even when it hasn't been tested against reality. Human teams are vulnerable to the same pattern. A coherent explanation creates momentum, and once that momentum builds, assumptions settle into background truth, early signals are interpreted selectively, and revision becomes increasingly difficult.

Modern organizations operate in environments where reasoning alone is often insufficient. AI systems, dynamic markets, delayed feedback loops, and complex interdependencies all increase the distance between a compelling explanation and a reliable outcome. In these conditions, a well-formed argument can easily become a substitute for evidence.

6.1 What ReAct actually is

6.2 Deliberative reasoning: the discipline of pause

6.3 Why narrative dominates human decisions

6.4 What goes wrong without evidence loops

6.5 When ReAct is necessary

6.6 Example patterns and interventions

6.7 Revisiting the AI pilot through a ReAct lens

6.8 ReAct as the boundary between reasoning and reality

6.9 Summary