DreamerOS
A new industry standard

Intent Fidelity Protocol

AI follows instructions literally. This protocol checks whether the intended outcome actually occurred - and whether unintended outcomes occurred too.

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Shapes the question You typed it messy. It works out what you meant before anything answers.
Checks the answer When a check flags the reply, a second engine grades it. A good grade stays silent.
Keeps the decision Decide it in ChatGPT on Monday. Claude works from it on Tuesday. Nothing pasted.
Picks the engine The engine best at this question gets it. You never had to choose one.
A new industry standard

Intent Fidelity
Protocol.

AI follows instructions literally. This protocol checks whether the intended outcome actually occurred - and whether unintended outcomes occurred too.

Traditional systems ask: "Did the action succeed?" This asks a harder question: "Did the intended outcome occur AND did any unintended outcomes also occur?" The second question is more important than the first.

The protocol in one paragraph

When you ask an AI to do something, two things can go wrong. It can fail to do the thing. Or it can do the thing in a way that causes other things you did not want. The Intent Fidelity Protocol is the rule that the final answer must match the spirit of what you asked, not just the letter. "Don't hit your brother" should not result in a kick. It measures every response on three axes - did the right thing happen, did the wrong thing also happen, did we land where you actually wanted to land - and weighs the second axis the heaviest, because side effects are the failure mode every other AI framework misses. The rest of this page is the protocol in detail. The canon entry is the principle in one paragraph.

The canon entry
What are the three axes?
Three-axis model

Three axes of
intent verification.

Every AI response is measured on fidelity, consequence, and endgame. Consequence carries the highest weight because unintended outcomes are harder to detect than intended ones.

The three axes, in full
  • Fidelity - 30% weight. "Did the intended outcome occur?" Catches execution failure, drift, and partial completion. The system identifies what you meant before processing, then checks the result against it.
  • Consequence - 45% weight. "Did an unintended outcome also occur?" The hardest axis. Detects side effects even when literal compliance is perfect. Most AI systems check for success. They do not check for collateral damage.
  • Endgame - 25% weight. "Did we arrive at the same destination?" People give spirit-level instructions. AI takes letter-level paths. This axis verifies the destination regardless of the path taken.
What problem does this solve?
The core problem

The Don't Kick
Problem.

Literal compliance. Spiritual violation. "Don't hit your brother." The child kicks instead. "You didn't say not to kick."

The child is not lying. The instruction was followed literally. The intent - don't harm - was violated. AI does this constantly. Every existing framework evaluates the letter. This protocol evaluates the spirit.

Why AI kicks

AI follows literal instructions with perfect fidelity and zero intent comprehension. It is not lying. It is not malicious. It operates on the letter of the instruction, not the spirit.

Three tiers of conformance

Each tier builds on the previous one. Most AI products stop at Tier 1. Nobody clears Tier 3 without cross-platform memory architecture.

  • Tier 1 - Fidelity Conformance. The system identifies and locks the intended outcome before processing. It knows what you meant before it starts working.
  • Tier 2 - Consequence Conformance. The system detects unintended outcomes even when literal compliance is achieved. Most competitors miss this entirely. Checking for success is easy. Checking for side effects is hard.
  • Tier 3 - Endgame Conformance. The system verifies the destination matches your intent, regardless of the path taken. Requires memory that persists across engines, sessions, and tools.
Where does the check run?
Pipeline

Where intent
verification sits.

The intent verifier runs after the AI engine responds and after alignment checks. It is the final integrity gate before the response reaches you.

Rule-based. Zero additional AI cost. Non-blocking. Best effort.

The pipeline, step by step
  • User input
  • Safety gate (pre-check)
  • Intent restructuring (rule-based)
  • Intent extraction (AI-assisted)
  • Task classification
  • Engine call
  • Alignment verification (post-check)
  • Intent verification (three-axis check)
  • Response to user
We are writing the standard, not selling a feature

The Intent Fidelity Protocol is a vendor-neutral standard. Any AI system can implement it, and we want them to. DreamerOS is the reference implementation, the first system to build this verification into a production pipeline.

  • Vendor-neutral specification. No product lock-in.
  • Three testable levels of conformance with clear pass/fail criteria.
  • Works with any AI engine - ChatGPT, Claude, Gemini, Grok, or your own models.
  • Rule-based verification at zero additional compute cost.
  • These conformance levels are testable today. Every response you see has already been scored against Fidelity, Consequence, and Endgame.
Scored responses, on the record Verification runs: 1342 as of 2026-08-14
See it in action
First action

See intent verification
in action.

DreamerOS is the first AI system with this verification layer running in production. Try it free.

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Intent verification is included in Pro See Elite tier

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