https://github.com/technickai/100x-base
100x your life with AI (and UnityOS)
https://github.com/technickai/100x-base
Last synced: 4 months ago
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100x your life with AI (and UnityOS)
- Host: GitHub
- URL: https://github.com/technickai/100x-base
- Owner: TechNickAI
- Created: 2025-10-04T21:43:06.000Z (4 months ago)
- Default Branch: main
- Last Pushed: 2025-10-04T22:46:50.000Z (4 months ago)
- Last Synced: 2025-10-05T00:14:07.210Z (4 months ago)
- Size: 4.16 MB
- Stars: 0
- Watchers: 0
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# 100x Your Life with an AI Team

**Build your AI Team Lead - a system that learns from conversations and evolves its own playbook.**
Processes your meeting transcripts, maintains context in Notion, creates tasks automatically, and spawns specialized sub-agents for complex work.
> **Note:** During setup, you'll give your AI Team Lead a name—making it personal to you.
---
## What Your AI Team Lead Does
Your AI Team Lead orchestrates your AI workforce—reading conversations, updating knowledge, and delegating tasks to specialized sub-agents. Notion stores the persistent playbook with your preferences, patterns, and rules. Sub-agents handle specific jobs like research or meeting prep, then disappear.
```mermaid
graph LR
A[You Speak] --> B[Team Lead Listens]
B --> C[Updates Playbook]
C --> D[Manages AI Team]
D --> E[Team Executes]
E --> F[Learns & Improves]
F --> B
style B fill:#e1f5ff
style C fill:#d4edda
style E fill:#fff3cd
```
**Core capabilities:**
- Processes conversations via Limitless or Fireflies
- Maintains preferences and context in Notion
- Creates tasks, prepares meetings, manages projects
- Updates its own playbook from your feedback
- Spawns specialized sub-agents for complex work
## Architecture
```mermaid
graph TB
subgraph "Your World"
Y[Your Conversations]
T[Your Tasks]
F[Your Files]
end
subgraph "Your AI Team"
CC[AI Team Lead]
S1[Research Agent]
S2[Task Manager]
S3[Meeting Prep]
SN[New Agents...]
end
subgraph "Living Memory"
N[Notion Playbook
Rules, Knowledge, Preferences]
end
Y --> CC
T <--> CC
F --> CC
CC <--> N
CC --> S1
CC --> S2
CC --> S3
CC --> SN
style CC fill:#e1f5ff
style N fill:#d4edda
```
### Sub-Agent Pattern
Each sub-agent is a fresh AI process with a focused purpose, scoped access to only the tools it needs, and a clean lifecycle: created → executes → returns → destroyed.
Example voice command:
```
"[Your AI Team Lead], find dinner reservations for 4 people tomorrow"
```
Behind the scenes:
```bash
# Your AI Team Lead spawns a specialized sub-agent
ai-agent --system-prompt "Extract dinner preferences and find restaurants" \
--context-files conversation-transcripts.json \
--tools opentable,maps
```
## Example Behaviors
**Dinner Planning**
Scans your calendar, extracts restaurant preferences from past conversations, proposes three options with rationale.
**Meeting Prep**
Compiles context from related conversations, previous meetings, and relevant documents 30 minutes before each meeting.
**Task Triage**
Reviews incoming tasks, assigns priorities based on your patterns, flags items needing immediate attention.
## The 100x Framework
```mermaid
graph LR
A[📋 1x: Organize
Clean Data] --> B[🤖 10x: Automate
AI Team] --> C[🎨 100x: Create
Move Fast]
style A fill:#fff3cd
style B fill:#d1ecf1
style C fill:#d4edda
```
1. **1x**: Get organized - Clean knowledge base in Notion
2. **10x**: Deploy your AI Team Lead - Manages execution and operations
3. **100x**: Pure creativity - You focus on vision while your AI team handles operations
[Read the full 100x Framework →](context/100x-framework.md)
## Technical Stack
**Core:**
- **AI Runtime**: Universal orchestration and execution
- **Notion**: Knowledge base and playbook storage
- **MCP Servers**: Tool integrations
**Integrations:**
- **Limitless/Fireflies**: Conversation capture
- **ClickUp**: Task management
- **Dropbox**: File access
**Infrastructure:**
- No databases to manage
- No custom code to maintain
- No deployment pipelines
- Just AI agents + APIs
## Why This Approach
**Traditional AI assistants:**
- Fixed capabilities that don't grow
- Complex infrastructure to maintain
- Rigid workflows that break easily
- No memory between sessions
**This implementation:**
- Builds new capabilities through sub-agents
- No infrastructure—just APIs
- Adapts patterns based on feedback
- Notion provides persistent memory
## Documentation
- [100x Framework](context/100x-framework.md) - Vision and principles
## Core Principles
- **AI agents are the runtime**: Not just tools, but the execution environment
- **Notion is the knowledge base**: All memory and learning persists there
- **Sub-agents are ephemeral**: Create, execute, destroy keeps it clean
- **Conversations are training data**: Every correction becomes a rule
- **Start simple, grow complex**: Basic loops first, sophistication emerges
## License
Fair use for personal productivity. See [LICENSE](LICENSE) for details.
---
_AI that amplifies human capability._
**From chaos to clarity. From ideas to execution. From 1x to 100x.**