Not a chatbot

Understand the structure.
Prove what works.

Webzzle maps complex problems, explores competing hypotheses, and preserves only the relationships that survive verification.

Comprendre la structure. Prouver ce qui fonctionne.

What Webzzle does at launch

Five things it does today — and one it’s learning to do

A working reasoning instrument, not an oracle. Each verb below is a capability you can use now.

STRUCTURE

Turns the problem into objects, relations, constraints and unknowns.

EXPLORE

Formulates several hypotheses and paths to a resolution.

TEST

Proposes the observations or experiments that tell them apart.

TRACE

Keeps the paths explored, the failures, and the transformations.

VERIFY

Separates a plausible proposal from an actually validated result.

LEARN — IN CONSTRUCTION

Webzzle builds a memory of validated problem structures, subject to user consent and verification. It does not learn automatically from every problem.

The confidence hierarchy

Every statement carries its standing

This is the real product. You always see how far a claim has earned its way up — from a raw observation to a capability certified on new problems. Nothing skips a rung.

1OBSERVATIONA fact supplied or directly observed.
2HYPOTHESISA possible explanation, not yet checked.
3TESTED HYPOTHESISConfronted with an observation.
4VALIDATED CASEA solution confirmed for this precise problem.
5RECURRENT PATTERNA structure found across several validated cases.
6ADMITTED RULEA relation frozen, then validated on new cases.
7CERTIFIED CAPABILITYA rule that improved outcomes prospectively.
Inside a response

Six parts. Each one labeled by how far it’s proven.

Webzzle doesn’t just hand you an answer — it hands you the reasoning, and marks exactly where certainty ends.

Problem Map

01

Objects, relations, constraints, objectives and missing information.

Resistance

HYPOTHESIS

The contradiction or dependency that seems to block the resolution.

Competing Hypotheses

03

Several explanations, without artificially selecting one.

Discriminating Experiments

04

What to observe, compute or test to eliminate the wrong ones.

Proposed Solution

05

The solution and its conditions of validity.

Reusable Insight

CANDIDATE — NOT YET A RULE

The abstraction that might transfer — flagged so a single case never becomes a general theory too soon.

The principle

A response does not become knowledge until it has been validated.

Vision

Build the collective intelligence of problems.

VisionOur vision: every validated problem should make the next one easier. We don’t claim the cumulative loop is proven — we’re building the instruments to measure it honestly, one validated structure at a time.

Bring a problem worth understanding.