kint vs.
general AI and ML.

Language models and general machine learning are strong at prediction, classification and understanding text. They give no guarantee that a plan meets every rule, and no measure of how far it is from the best one.

side by side when to choose which

the strength of general AIPattern recognitionExcels at finding patterns in large data.

the strength of kintPlan qualityBound and gap from a mathematical solver. At 0.0 %, no better plan exists for the model as stated, within the solver's tolerance.

kint · general AI7 dimensions, both sidesproperties you can check

Side by side

dimension by dimension.

Properties you can check, not benchmark claims. The last column says which approach fits better on that dimension.

Side by side comparison
Dimension	kint	general AI	Fits better
Plan quality	Bound and gap from a mathematical solver. At 0.0 %, no better plan exists for the model as stated, within the solver's tolerance.	A plausible suggestion with no measure of its distance from the best.	kint
Rules	Every constraint in the model holds.	May propose plans that break a rule.	kint
Explanation	Binding constraint, sensitivity, bound and gap.	A narrative explanation that cannot be verified.	kint
Reproducibility	Each run pins the data version, the model version and the solver settings, so the plan can be re-checked against the record.	Runs can differ from one another.	kint
Understanding a description	Uses language models for exactly this step.	Strong at interpreting loosely worded input.	either
Pattern recognition	Uses machine learning for forecasts and surrogates.	Excels at finding patterns in large data.	general AI
Unstructured questions	Needs the decision written down as goal, rules and data.	Works with vague, open questions.	general AI

Choose general AI when

general AI: the better fit.

The task is open-ended: summarising, drafting, classifying, finding patterns. Nobody needs to know whether the answer is the best one.

Choose kint when

the decision has to be defended.

The task is a decision under hard rules, and the result has to be correct, repeatable and explainable.

Used together

kint is built on both. AI builds the model from the planners' words. The solver finds the best plan under its rules and reports the gap. Each does the part it is good at.

Other comparisons

kint next to the other approaches.

all comparisons

general AI and kint, on your decision.

Bring a plan your team made today. We put the kint plan next to it, with the binding limit of each, and you judge.

show us one decision

All comparisons: kint next to the alternatives
Results: Plan, binding limit, sensitivity, bound and gap, record
Problem types: the decisions kint solves
contact: hello@kint.pro

kint vs.general AI and ML.