Guerilla Mktg Strategies
1.
Accelerate The Negotiations Of Fractional Tech Employment
1.1.
Step 1: Define Core Value Proposition Of This Project
1.2.
Step 2: Conduct Market Research
1.3.
Step 3: Choose Tech Stack
1.4.
Step 4: Create User Personas
1.5.
Step 5: Define Key Features
1.6.
Step 6: Outline MVP Requirements
1.7.
Step 7: Create System Architecture
1.8.
Step 8: Define Development Methodology
1.9.
Step 9: Set Up Project Management
1.10.
Step 10: Determine Licensing Approach
1.11.
Step 11: Draft Product Roadmap
1.12.
Step 12: Assess Technical Feasibility
1.13.
Step 13: Define Success Metrics
1.14.
Step 14: Create Wireframes
1.15.
Step 15: Establish Project Governance
2.
The REASON For The Toolchain Improvements -- The 100-Project Bucket List
3.
Information Autonomy
3.1.
Philosophical Foundations
3.2.
Technical Foundations
3.3.
Adv Observability Enrg
3.4.
Data Pipeline Architecture
3.5.
Knowledge Engineering
3.6.
Unobtrusive AI Assistance
3.7.
Architecture Integration
3.8.
Compute Resources
3.9.
Implementation Roadmap
3.10.
Application, Adjustment
3.11.
Future Directions
3.12.
Conclusion
4.
50-Day Study Plan
4.1.
Day 1-2 Rust/Tauri
4.2.
Day 3-4 LLMs and LLMops
4.3.
Day 5-6 Ingesting APIs
4.4.
Day 7-8 Data Wrangling
4.5.
Day 9-10 Vector Databases
4.6.
Day 11-12 Jujutsu & GitHub
4.7.
Day 13-14 arXiv API
4.8.
Day 15-16 HuggingFace API
4.9.
Day 17-19 Patent APIs
4.10.
Day 20-22 FinNews APIs
4.11.
Day 23-25 Email APIs
4.12.
Day 26-28 Anthropic MCP
4.13.
Day 29-31 Google A2A
4.14.
Day 32-34 Agent Orchestration
4.15.
Day 35-37 Info Summarization
4.16.
Day 38-40 Learning Preferences
4.17.
Day 41-43 Data Persistence
4.18.
Day 44-46 Adv Email w/AI
4.19.
Day 47-48 Refactor UI
4.20.
Day 49-50 Deploy/Test
4.21.
Milestones
4.22.
Daily Workflow
4.23.
Autodidacticism
4.24.
Communities
4.25.
Papers
4.26.
Documentation
4.27.
References
5.
Blogifying The Plan
5.1.
Rust Dev Fundamentals
5.2.
Tauri Development
5.2.1.
Tauri vs Electron
5.2.2.
Svelte With Tauri
5.3.
ML/AI Development
5.4.
ML/AIOps System Design
5.5.
Personal Assistant Agentic Systems (PAAS)
5.6.
Multi-Agent Systems and Architecture
5.7.
Data Storage and Processing Technologies
5.8.
Creative Process Flow For Development
5.9.
Philosophy/Principles
5.10.
Cross-Platform
6.
ML/AI Ops Study Notes
6.1.
Rust Language
6.2.
Tauri
6.3.
Cargo
6.4.
crates.io
7.
Develop Locally, Deploy To The Cloud
7.1.
Section 1: Foundations of Local Development for ML/AI
7.2.
Section 2: Hardware Optimization Strategies
7.3.
Section 3: Local Development Environment Setup
7.4.
Section 4: Model Optimization Techniques
7.5.
Section 5: MLOps Integration and Workflows
7.6.
Section 6: Cloud Deployment Strategies
7.6.1.
Specialized GPU Cloud Providers for Cost Savings
7.7.
Section 7: Real-World Case Studies
7.8.
Section 8: Miscellaneous "Develop Locally, DEPLOY TO THE CLOUD" Content
8.
Knowledge Engineering
Light
Rust
Coal
Navy
Ayu
Guerilla Mktg Vibification
References Pertinent To Our Intelligence Gathering System
Cloud Compute
RunPod
ThunderCompute
VAST.ai
Languages
Go
Python
Rust
Rust Package Mgmt
crates.io
Cargo
Tauri
Typescript
Libraries/Platforms for LLMs and ML/AI
HuggingFace
Kaggle
Ollama
OpenAI
Papers With Code
DVCS
Git
Jujutsu