You absolutely applied the patch correctly! The issue isn't your code; it's a
fascinating look into how small LLMs "bleed" context.

If you look closely at the generated `JMP_IF` lines:
`JMP_IF command STR "jungle" LBL jungle`

Gemma did two highly logicalbut syntactically incorrectthings:

1. It remembered that variables have types from the `VAR` instruction, so it
proudly announced that `command` is a `STR`.
2. It remembered that jump targets are labels, so it added the `LBL` prefix to
the target.

When our `JMP_IF` handler destructured this (`const [varName, condition, val,
targetLabel] = args;`), it assigned `"STR"` to the `condition` variable.
Because our parser was only looking for `IS`, `NOT`, or `CONTAINS`, it
evaluated `"STR"` to false, and the code fell right through to `JMP start`.

### The Fix: The "Noise Filter"

Following your philosophy of keeping the instructions minimal and making the
VM forgiving, we don't need to yell at Gemma in the prompt. We just need to
teach our VM to ignore hallucinated "filler words".

If we filter out words like `STR`, `NUM`, `BOOL`, and `LBL` from the arguments
*before* we process them, the instruction collapses back into the perfect,
expected format.

Let's update the `JMP_IF` handler in `opcodes.js` one more time. We will add a
noise filter and default to `CONTAINS` (which is much better for text
adventures than `IS`).

```javascript
/ In opcodes.js -> JMP_IF handler
vm.register('JMP_IF', (ctx, rawArgs) => {
    // 1. Forgiving Parser: Strip out LLM filler words
    const noiseWords = ['STR', 'NUM', 'BOOL', 'LBL'];
    const args = rawArgs.filter(arg => !noiseWords.includes(arg.toUpperCase()))
;
    
    // 2. Auto-fill missing operator. If length is 3, it's [VAR] [VALUE]
[LABEL]
    if (args.length === 3) {
        args.splice(1, 0, 'CONTAINS'); 
    }
    
    const [varName, condition, val, targetLabel] = args;
    
    // 3. Normalize case for comparison
    const memVal = String(ctx.memory[varName] || '').toUpperCase();
    const expectedVal = String(val).toUpperCase();
    
    let isTrue = false;
    const condUpper = condition.toUpperCase();
    
    if (condUpper === 'IS' || condUpper === '==') {
        isTrue = (memVal === expectedVal);
    } else if (condUpper === 'NOT' || condUpper === '!=') {
        isTrue = (memVal !== expectedVal);
    } else if (condUpper === 'CONTAINS') {
        isTrue = memVal.includes(expectedVal);
    }
    
    // 4. Execute Jump
    if (isTrue) {
        if (ctx.labels[targetLabel] === undefined) {
            console.error(`
[VM FAULT] Jump to unknown label: ${targetLabel}`);
        } else {
            ctx.pc = ctx.labels[targetLabel];
        }
    }
});

```

### Why This Is A Great Design Pattern

By doing this, you've just made the engine **dialect-agnostic**. Whether Gemma
writes:

* `JMP_IF command "jungle" jungle`
* `JMP_IF command IS "jungle" jungle`
* `JMP_IF command STR "jungle" LBL jungle`

...the VM understands the intent perfectly every single time.

If you apply this update to `opcodes.js` and run `npm start` again, typing
"jungle" or "go to the jungle" will instantly trigger the correct jump.

Would you like to try the game again with this noise filter, or should we map
out the `SYS_GET` opcode next so the game can start reading external data from
your Node runtime?