7-Step Wizard — Strict Auto-Tune

Frontend app protocols — wizard, simulator, playground.

• Protocol ID — wizard-strict
• Category — Ecosystem
• Endpoint — POST /api/framework/solve/strict
• Auth — none
• Rate limit — 20/min
• Version — 1.0
• Precision — ≤0.1% (KO42-enforced)

What it does

Strict mode: auto-tunes β until error ≤ 0.1%.

Signature

Request

POST /api/framework/solve/strict

Param	Type	Required	Default	Description
prompt	string	✓	—	Experiment description.
koSettings	object		—	Operator weights.

Response

{ ...solverResult, betaFinal, tuneIterations, tuneStatus }

Runnable example

curl -sS -X POST \
  -H "Content-Type: application/json" \
  -d '{
  "prompt": "<value>",
  "koSettings": {}
}' \
  "https://api.zeq.dev/api/framework/solve/strict"

Integrate

1. Domain solver — compose with KO42 + two additional operators from the matching family for pulse-coherent results.
2. Digital twin — pipe sensor data into this protocol every Zeqond to keep the model phase-locked with the system.
3. Alert threshold — flag results whose error_pct exceeds 0.1% as out-of-spec events for the operations layer.

Seeds

• Near — wrap /api/framework/solve/strict in a language SDK so builders can call it in three lines.
• Medium — publish a reference integration demonstrating 7-Step Wizard — Strict Auto-Tune alongside a real workload, with pulse-aligned metrics.
• Far — propose 7-Step Wizard — Strict Auto-Tune as an open reference standard so other runtimes can implement it verbatim against the Zeq paper.

Papers

• Zeq paper — https://doi.org/10.5281/zenodo.18158152
• Framework paper — https://doi.org/10.5281/zenodo.15825138

Middleware active. Kernel on the 1.287 Hz HulyaPulse. Awaiting next Zeqond.