Intent Fidelity Protocol
AI follows instructions literally. The IFP verifies whether the intended outcome actually occurred - and whether unintended outcomes occurred too.
Traditional systems ask: "Did the action succeed?" The IFP 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.
Intent verification on three axes
Every AI response is measured on fidelity, consequence, and endgame. Consequence is weighted the highest because unintended outcomes are harder to detect than intended ones.
Fidelity
Catches execution failure, drift, and partial completion. The system extracts what you meant before processing and verifies the result matches.
Consequence
The hardest axis. Detects side effects even when literal compliance is perfect. This is where most AI frameworks fail. They check success. They do not check collateral.
Endgame
Non-literal humans give spirit-level instructions. Literal agents take letter-level paths. The IFP verifies the destination regardless of the path taken.
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. It 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.
Every existing framework evaluates the letter. The IFP evaluates the spirit.
Three tiers of conformance
Each tier builds on the previous one. Most AI products stop at Tier 1. Nobody passes Tier 3 without cross-platform memory architecture.
Fidelity Conformance
The system extracts and verifies the intended outcome before processing. It knows what you meant before it starts working.
Consequence Conformance
The system detects unintended outcomes even when literal compliance is achieved. This is where most competitors fail. Checking for success is easy. Checking for side effects is hard.
Endgame Conformance
The system verifies that the destination matches your intent, regardless of the path taken. Requires cross-platform substrate. Requires memory that persists across engines, sessions, and tools.
Where the IFP sits
The IFP 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.
An open framework, not a product
The Intent Fidelity Protocol is designed as an open, vendor-neutral framework. Any AI system can implement it. DreamerOS is the reference implementation - the first system to build IFP verification into its production pipeline.
Vendor-neutral specification. No product lock-in.
Three testable conformance tiers 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.
White paper forthcoming. Formal specification in development.
See intent verification in action
DreamerOS is the first AI system with IFP verification in its production pipeline. Try it free.