Blog
Notes from the Imora team on AI twins, the reasoning graph, and putting your judgement where you can't be.
Introducing the Reasoning Graph: An AI Twin That Can Show Its Work
Most AI twins paste a bio into a prompt. Imora builds a graph of how you actually decide, from your own answers, and every twin you own reasons from it and shows why.
Build Once, Deploy Many: The Case for Separating Identity from Interface
Why one model of how you decide, with several twins over it, beats a separate assistant for every audience.
What Actually Makes a Good AI Twin (And What Doesn't)
A practical guide to what separates a useful AI twin from a novelty chatbot, with tests you can run on any tool, including ours.
Why a Reasoning Graph, Not a Prompt
A persona prompt with your documents is quick and often good enough. Here is where it stops, and what Imora stores about you in its place.
How to Build an AI Version of Yourself
A practical walkthrough of building an AI twin that reflects how you decide, not just what you have written, and how to check whether it is any good.
Why Most AI Tools Fail to Capture How You Think
AI keeps getting better at knowing things. Knowing and deciding are different problems, and most tools only work on the first.
AI Twins vs Chatbots: What's the Difference?
A chatbot gives the most plausible answer. A twin gives one person's answer and shows where it came from. Here is what separates them and when each is the right tool.
Introducing Imora: Build Your AI Twin
Imora lets an expert build an AI twin that answers the way they would decide, and shows its reasoning. Here is why we built it, how it works, and what is and is not live.
Six Layers of Context: How Imora Twins Actually Work
What the optional six-section interview captures, what it cannot, and how it sits alongside the reasoning graph that your twin actually answers from.