Stop Starting from Scratch with AI
AI Vendor Updates and Tool Parity
Challenges with AI Memory Management
Building Trust and Onboarding in AI Tools
Building Skills for Daily Planning
Enhancing Productivity with AI
Integrating Loops and Schedules
Establishing Decision Boundaries with AI
Navigating AI Trust and Boundaries
Understanding AI Models and Their Decision Frameworks
The Future of AI: Productivity and Skills Development
Episode 25: Stop Starting From Scratch with AI
A useful AI chat is one thing. Having a routine that knows how you work is another. Justin and Kellan walk through how context, skills, schedules, loops, and human judgment fit together, using their own daily planning routines as the example.
The Drip:
- Microsoft Copilot's latest agent features and the growing overlap between Copilot, Claude, and ChatGPT.
- OpenAI's dots and the move toward always-on agents.
- Why Justin keeps durable context outside individual tools, and what happens when a memory from one task applies everywhere.
Inside The Bottle:
- Start with work worth repeating: the routine stays recognizable even when each day's inputs change.
- Bring in the context the task needs, through connectors or the information you're comfortable supplying.
- Turn the way you work into a skill, then improve it through actual use.
- Use a schedule to have the preparation waiting when you sit down.
- Two kinds of loops: check for changes, or keep working toward a defined result.
- Decide where human judgment belongs. A routine status update and feedback on a client's proposal call for different boundaries.
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Music licensed through Soundstripe.
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