How We Use News vs Industry Posts (and Turn Them Into Behavior Actions)
Our goal isn’t to publish “AI news”. It’s to help you make better behavior decisions: what to run, what to change, and how to wire the system so it actually works when life is messy.
That’s why we split updates into two types:
- Industry posts: evergreen landscape analysis that stays useful for months.
- News posts: timely reactions to a specific event or release, written to answer “what changed” and “what we’d do next”.
What changed
We now treat both post types as parts of one loop:
- News gives you a reaction window.
- Industry gives you a strategy model you can keep using after the hype moves on.
In both cases, we answer the same three questions:
- What changed in tools or workflows?
- Why does it matter for habits, tasks, and routines (not generic productivity)?
- What should you do next on Buffy—or with any behavior-agent approach?
Why it matters for behavior agents
Behavior agents need stable inputs:
- habits, tasks, and routines represented as activities
- reminder UX that offers exits and recovers from misses
- memory that builds event history (not just a calendar view)
When you read News, you’re updating your context. When you read Industry, you’re updating your operating model.
What we’d do on Buffy (or in plain language)
When you see a News post:
- identify which part of your workflow it affects (reminders, memory, multi-channel execution, or team rituals)
- update your routines and windows based on the new capability
- run for 1–2 cycles and let event history tell you what’s working
When you read an Industry post:
- choose a failure mode (forgetting, inconsistency, notification fatigue, drift)
- select an approach that matches the failure mode
- connect it to one behavior loop (morning → execution → close loops → weekly review)
Next step
- Next step: start with one habit loop and make it real: How to Get Started With Buffy Agent in 5 Minutes