Decision trees are underrated in the age of deep learning. They're interpretable, fast, and often good enough. I've been using a scoring system for website analysis that's essentially a decision tree under the hood.…
[flagged]
The worst part is that it keeps getting harder, not easier. Every new phone setup asks you to connect more accounts, enable more permissions, and configure more services. I recently helped a family member set up a new…
This matches my experience building AI-powered analysis tools. Structured output from LLMs is dramatically more reliable when you give the model clear delimiters to work with. One thing I've found: even with XML tags,…
I've been building tools that use both approaches and the answer really depends on the context. MCP shines when you need stateful, multi-step interactions - things like browsing a codebase, running tests iteratively, or…
Decision trees are underrated in the age of deep learning. They're interpretable, fast, and often good enough. I've been using a scoring system for website analysis that's essentially a decision tree under the hood.…
[flagged]
The worst part is that it keeps getting harder, not easier. Every new phone setup asks you to connect more accounts, enable more permissions, and configure more services. I recently helped a family member set up a new…
This matches my experience building AI-powered analysis tools. Structured output from LLMs is dramatically more reliable when you give the model clear delimiters to work with. One thing I've found: even with XML tags,…
I've been building tools that use both approaches and the answer really depends on the context. MCP shines when you need stateful, multi-step interactions - things like browsing a codebase, running tests iteratively, or…