Amplifier

Amplifier — Strengthening What Works

The instinct when something works is to "add more features." The AI-native instinct is different: create conditions for more of this behavior to emerge naturally.

Amplification is not addition. It's cultivation.

Amplification Strategies

Reduce Friction

If something is working despite obstacles, remove the obstacles. The behavior will naturally increase.

• Question: What makes it hard for users to experience this good behavior?
• Action: Remove barriers, simplify paths, reduce steps
• Measure: Does the behavior frequency increase?

Strengthen the Loop

If a reinforcing loop is producing good behavior, make the loop tighter and faster.

• Question: What's the feedback cycle time? Can it be shortened?
• Action: Make signals more visible, make responses faster, make effects more noticeable
• Measure: Does the loop accelerate?

Expand the Conditions

If good behavior emerges in one context, create similar conditions in adjacent contexts.

• Question: What conditions produced this emergence? Where else do similar conditions exist?
• Action: Replicate the capability combination in new contexts
• Measure: Does the behavior emerge in the new context?

Make It Visible

Sometimes the best amplification is just making the behavior visible to the user.

• Question: Does the user know this is happening?
• Action: Surface the behavior. Show the user what the system is doing well.
• Measure: Does awareness increase usage?

Connect to Other Surfaces

Good behavior in one surface might enhance another.

• Question: Could this pattern benefit other products in the portfolio?
• Action: Cross-pollinate — share the conditions or capabilities with other surfaces
• Measure: Does the behavior emerge in connected surfaces?

Amplification Anti-Patterns

• Over-engineering: Adding complex systems to support something that was working naturally. If it ain't broke, don't optimize it — just remove friction.
• Premature amplification: Amplifying a pattern before confirming it's genuinely valuable (not just novel). Wait for repeated observation.
• Amplification-as-addiction: Creating reinforcing loops that maximize engagement but not value. The system should be useful, not addictive.

Output

# Amplification Plan: {pattern name}

## Pattern Observed
{What's working and where}

## Strategy
{Which amplification approach — reduce friction / strengthen loop / expand conditions / make visible / connect}

## Specific Actions
1. {action}
2. {action}

## Expected Effect
{What we expect to see if amplification works}

## Watch For
{Potential negative side effects of amplification}