Capability Showcase

Amplifier in Action

How cross-session memory and agent coordination turn fragments into finished work

January 2026
Active
The Context

A user has been exploring
various AI capabilities

1
Sunday (Jan 19)
Built interactive chat features for presentations
2
Tuesday (Jan 21)
Explored WebGPU browser LLMs with research agents
3
Thursday (Jan 23)
Needs to demonstrate these capabilities to others
The Ask
Natural Language Request

Find that old conversation where we explored WebGPU browser LLMs

No file paths. No session IDs.
Just describe what you're looking for.

Cross-Session Memory

Amplifier reaches back
across time

Past Session
WebGPU LLM Research
Current Session
Today's Work

Session analyst searched past work, found the exact prompts, retrieved the context. Nothing was lost.

Rapid Demonstration
Next Request

Turn that exploration into a presentation

📂
Found
Past exploration retrieved in seconds
🎨
Transformed
Raw research became polished slides
Preserved
No re-explaining or re-doing the work
Mixing Explorations
The Remix Request

Add that interactive chat feature from the other project

Different session. Different codebase.
Same natural language.

Seamless Integration

Multiple explorations
merged into one

WebGPU PoC
Chat Feature
Presentation Framework
Interactive Demo with Embedded AI

Three codebases, zero manual integration

The Workflow

Working at the
speed of thought

🔍
"Find that conversation" → Session search
📊
"Make a deck" → Storyteller agent
🔗
"Add that feature" → Cross-repo integration
"Ship it" → Deployment automation

User focused on WHAT they wanted, not HOW to do it

The Numbers

From question to demo

2
Sessions
Connected
3
Codebases
Merged
7
Natural
Prompts
0
Lines of
Manual Code
Sources

Research Methodology

Data as of: January 2026

Feature status: Active

Research performed:

Gaps: Exact LOC counts not independently verified; "0 lines of manual code" refers to user-written code during the demonstrated workflow

Primary contributors: samschillace (session author)

The Result

From fragments
to finished work

Past explorations aren't lost. They're building blocks for what comes next.

Built with Amplifier
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