The specialist response is a solid starting point — an HTML file that sets up the canvas and begins to populate it with elements relevant to measuring AI fatigue through real-time recalibration. Here's how I'd continue it:

```html
            // Continue gradient background definition
            bgGradient.addColorStop(1, '#0a0c22');
            ctx.fillStyle = bgGradient;
            ctx.fillRect(0, 0, canvas.width, canvas.height);
        }

        function drawFatigueZone(fatigueLevel) {
            fatigueZones.forEach(zone => {
                if (fatigueLevel <= zone.threshold) {
                    const fillColor = zone.color;
                    const opacity = (1 - (fatigueLevel / zone.threshold)).toString();
                    ctx.globalAlpha = Math.min(1, 0.5 + 0.3 * (1 - fatigueLevel));
                    ctx.fillStyle = `rgba(${fillColor.slice(4, -1).split(',').map(c => parseInt(c, 10)).join(',')},${opacity})`;
                    ctx.beginPath();
                    ctx.arc(canvas.width / 2, canvas.height / 2, zone.threshold * 150, 0, Math.PI * 2);
                    ctx.closePath();
                    ctx.fill();
                }
            });
        }

        function drawLearningNodes() {
            learningNodes.forEach((node, index) => {
                if (node.active) {
                    const angle = node.angle + rotation;
                    const x = canvas.width