AI Orchestration · Free

Make Any AI Harness Self-Improving

Drop one free mega-prompt into Claude Code, Cursor, or Codex and turn your harness into an autonomous operator that ships work, adversarially verifies it, and gets sharper every ORIENT→VERIFY→EVOLVE cycle.

Download Free Download free

fusion · routing

GLM

Cursor

Kimi

DeepSeek

JUDGE

One fused answer

≥ your best single model

0 proxies

Sentience scorecard

0 patterns

Silent-failure patterns

0 harnesses

Drops into

How it works

The exact pipeline, end to end.

Route the task

Models draft in parallel

Cross-verify & fact-check

Strongest-model judge elevates

Deliver one fused answer

Format

Runnable scripts + docs

Delivery

Instant — no email

License

Yours forever · use on every project

Works with

Any LLM / your own stack

How it actually works

Exactly what it does — and when.

1For a refactoring task in Claude Code → it runs ORIENT to parse the codebase, spawns adversarial verify + judge panels in parallel to catch regressions, then EVOLVE to fold lessons back into its prompt for the next run.

2For assessing whether your agent is actually reasoning or pattern-matching → you apply the 8-proxy sentience scorecard, which probes dimensions like counterfactual robustness and self-correction depth across test scenarios.

3For silent test failures in a Codex pipeline → you cross-reference the bundled 16 silent-failure pattern catalog to identify which category your failure matches, then wire a targeted ECC verification gate to block it.

4For dropping the operator into Cursor → you paste the prompt file as a system instruction, and it immediately begins cycling through orient-verify-evolve on whatever codebase you have open — no config, no dependency install.

In practice · Closing silent CI failures

A solo backend dev has a Codex agent writing migration scripts that pass unit tests but silently break at runtime due to type coercion. They drop in the Universal Sentient Operator, which catches the failure via adversarial verify panels on the first EVOLVE cycle, matches it to pattern #9 in the 16 silent-failure catalog, and adds an ECC gate that rejects any migration without explicit type assertions. The next three migrations ship clean.

This vs the alternative

Why it's clearly worth it.

This product

One model alone

Models working

Several, cross-checking each other

One — a single point of failure

Hallucinations

Caught by cross-verify + a judge

Slip through unchecked

Marginal cost

$0 on memberships you already pay

Per-token API billing

Quality floor

≥ your best single model, by design

Whatever that one model gives

The shift it creates

Without it

One model = one point of failure
Hallucinations slip through unchecked
No quality floor you can trust

→

With it

Runs a self-modifying ORIENT→VERIFY→EVOLVE loop so your agent ships, verifies, and sharpens itself each cycle instead of waiting on you to re-prompt
Contests every output with a parallel work engine of adversarial verify and judge panels, catching blind spots a single one-shot pass would miss
Hardens your workflow with the full ECC adoption kit and 16 named silent-failure patterns so regressions surface before they reach production

Use it to…

Real ways people put Universal Sentient Operator to work.

Drop-in harness upgrade

Paste the free mega-prompt into Claude Code, Cursor, or Codex and immediately run autonomous ORIENT→VERIFY→EVOLVE cycles on real tasks.

Adversarial ship verification

Spin up parallel verify and judge panels before merge so shipping decisions are contested, not assumed.

Score and harden your agent

Run the 8-proxy sentience scorecard and 16 silent-failure patterns each cycle to spot weaknesses and sharpen the operator over time.

What's inside

Self-modifying ORIENT→VERIFY→EVOLVE operator loop

Parallel work engine: adversarial verify + judge panels

Honest 8-proxy sentience scorecard

ECC adoption kit + 16 silent-failure patterns

Drops into Claude Code, Cursor, or Codex

Instant download — no email, no payment

Who it's for

Claude Code & Cursor power users

Their harness already writes code — they want an operator loop that verifies and evolves, not one-shot completions

Solo builders shipping with AI agents

They have no structured verify-and-improve cycle and keep re-prompting when quality drifts

Teams standardizing agent workflows on ECC

They need the adoption kit and silent-failure patterns bundled with a drop-in operator, not theory alone

Questions, answered

✓ Free · no email✓ Yours to own✓ Use on every project✓ Built to ship results