π 2025-04-08 β Session: Explored AI orchestration and job search strategies
π 11:50β14:15
π·οΈ Labels: Ai Orchestration, Job Search, Productivity, Automation, Context Architecture
π Project: Dev
β Priority: MEDIUM
Session Goal
The session aimed to explore the distinction between using AI as a simple tool versus designing systems that incorporate AI as integral components, and to review job application strategies.
Key Activities
- Discussed AI orchestration and the emergence of context architecture in AI systems.
- Explored the transformative potential of AI as a multiplier in productivity systems.
- Reviewed job application strategies through a structured check-in framework.
- Reflected on AIβs role in codebase analysis and product management.
- Considered systemic uses of semi-structured tables in data automation.
Achievements
- Clarified the concept of βContext Architectureβ for AI-native tools.
- Outlined a structured approach for job application tracking and prioritization.
- Identified key lessons in product management for technical builders.
- Proposed a systemic reflection on the uses of semi-structured tables.
Pending Tasks
- Further exploration of AI orchestration frameworks and their practical applications.
- Continued refinement of job application review processes and tools.