autoresearch

name	autoresearch
description	Autonomous goal-directed iteration. Define a goal with a measurable metric, then modify-measure-keep/discard-repeat until the goal is met.

Autoresearch — Autonomous Optimization

Inspired by iterative research methodology. Apply to ANY task with a measurable metric.

Core Loop

1. Define GOAL (what you want to achieve)
2. Define METRIC (how you measure success)
3. Define DIRECTION (higher is better / lower is better)
4. Define VERIFY (how to check the metric)

REPEAT:
  a. Make ONE modification
  b. Measure the metric
  c. If improved: KEEP the change
  d. If worsened: DISCARD (revert)
  e. Log the attempt and result
  f. Choose next modification
UNTIL: goal is met OR no more improvements found

Example Applications

Performance optimization

• Goal: Page load under 2 seconds
• Metric: Lighthouse performance score
• Direction: Higher is better
• Verify: Run Lighthouse audit

Bundle size reduction

• Goal: Main bundle under 200KB
• Metric: Bundle size in KB
• Direction: Lower is better
• Verify: Run build and check output

Test coverage

• Goal: 80%+ code coverage
• Metric: Coverage percentage
• Direction: Higher is better
• Verify: Run test suite with coverage

SEO score

• Goal: All pages score 90+
• Metric: SEO audit score
• Direction: Higher is better
• Verify: Run SEO analysis tool

Rules

• ONE change per iteration (isolate variables)
• ALWAYS measure before and after
• ALWAYS revert failed attempts (no accumulating debt)
• LOG every attempt for learning
• STOP when goal is met or 3 consecutive iterations show no improvement