TL;DR
Use RadarAI's Updates and Weekly Report as your signal layer, then run a short weekly review: shortlist 5 items → classify (capability / breaking / pattern) → pick one action → document with source links.
Time box: 20–25 minutes per week
Collect (10 min) → Classify (5 min) → One action (5 min). Set a timer; when time's up, commit to one action and document with a source link.
Who this is for
Founders, product managers, and developers who want to stay current on AI launches without spending hours every day.
Why a weekly cadence
Daily feeds can become noise. A weekly pass lets you batch signals, compare options, and turn "what's new" into one clear next step.
Step 1: Collect (10 min)
- Scan Updates and home feed for the last 7 days.
- Pick 5 items with clear impact (launch, model change, tool update).
- Optionally skim GitHub Trends and Weekly Report if available.
Step 2: Classify (5 min)
Label each: capability jump, breaking change, or repeated pattern. That tells you whether to prototype, migrate, or watch.
Step 3: One action (5 min)
Choose one concrete follow-up: e.g. "Try tool X for 1 hour" or "Read repo Y and add to backlog." Write it down with source links.
Copyable template
## Weekly AI launches — [Date] **5 items:** [list] **Classification:** capability / breaking / pattern **One action:** [e.g. "Try X for 1h" or "Add Y to backlog"] **Source link:** [URL]
Checklist: Do / Don't
- Do: Use one signal layer; time-box 20–25 min; shortlist 5 then pick one action; document with primary source link.
- Don't: Jump between many feeds; skip the "one action" step; extend the session indefinitely.
Boundaries and exceptions
This routine fits weekly cadence. If you need to track a single critical launch (e.g. a dependency upgrade), use a narrow channel (one feed or one repo) and a one-off check; don't turn it into a second full scan. If you're in a role with no product decisions (e.g. pure research), you may only need a reading pass—still time-box to avoid overload.
Weekly routine comparison by role
| Role | Primary signal | Weekly time | Key action |
|---|---|---|---|
| Founder | Capability jumps and pricing changes — signals that shift competitive dynamics | 20–25 min | Update roadmap assumptions or send a 1-paragraph brief to the team |
| Product manager | Breaking changes and new integrations — signals that affect current or planned features | 20–25 min | Add to sprint backlog or flag as risk in the next planning meeting |
| Developer | OSS repo surges and API changes — signals that affect tooling and dependencies | 15–20 min | Trial a repo for 1 hour or open a dependency-review issue |
| Data scientist | New model releases and benchmark results — signals that affect model selection | 15–20 min | Run a quick benchmark comparison or update the model selection doc |
Common launch types and how to handle them
| Launch type | Example | Classification | Action |
|---|---|---|---|
| New model API | A lab releases a new reasoning model with a public API and published benchmarks | Capability jump | Run a 1-hour evaluation against your current model; document cost and quality delta |
| Breaking change | An SDK you use drops support for an endpoint or changes a required parameter | Breaking change | Open a migration ticket immediately; assign to current sprint if it blocks production |
| OSS repo surge | A new inference framework goes from 0 to 8k GitHub stars in one week | Repeated pattern or capability jump depending on novelty | Add to watchlist; revisit in 2 weeks to see if momentum holds before trialing |
| Pricing change | A major API provider cuts token prices or changes rate limits | Pattern (market compression) | Recalculate unit economics for current usage; update cost projections in planning doc |
FAQ
How is this different from just reading the feed?
The discipline of shortlisting, classifying, and committing to one action turns passive reading into a repeatable decision process.
Can I do this with Feedly or another reader?
Yes, but RadarAI adds builder-oriented summaries and structure; see Compare and AI monitoring workflow.
What should I do when two launches in the same week seem equally important?
Pick the one with a clear, time-sensitive consequence—e.g. a breaking change that affects a live product beats a capability jump that could wait. If both are non-urgent, add both to your watchlist and let next week's session determine priority once more signal has accumulated. Never commit to two "one actions" in the same session; splitting focus reduces follow-through on both.
How do I share my weekly review with a team that doesn't use RadarAI?
Paste your filled-in copyable template into a shared doc, Notion page, or Slack thread at the end of each session. The format (5 items, classification, one action, source link) is tool-agnostic and readable without any context. Teams that want richer signal can try RadarAI's Weekly Report as a shared starting point.
Related guides and resources
- AI monitoring workflow for builders — the full framework this weekly routine fits inside
- Track open-source AI without doomscrolling — OSS-focused version of the same discipline
- Track AI updates without doomscrolling — how to stay current without feed overload
- RadarAI vs Feedly — choosing the right signal layer for your routine