Best Workflow for Weekly AI Intelligence Gathering

## Why a ritual Ad-hoc AI monitoring produces inconsistent results. Some weeks you read for 2 hours; other weeks you miss everything. A fixed 30-minute ritual gives you consistent coverage with predictable effort. ## The 5-step ritual ### Step 1: Collect (10 min) Open your radar. Scan the last 7 days. Pull out everything that could matter: launches, API changes, OSS momentum, breaking changes. Don't evaluate yet—just collect. Aim for 10–15 items. ### Step 2: Classify (5 min) Label each item: capability jump / breaking change / pattern / noise. Anything labeled noise is dropped immediately. This step forces quick evaluation and reduces the list to 5–8 items. ### Step 3: Shortlist (5 min) From the classified list, pick the 3–5 items most relevant to your stack, users, or roadmap this week. The rest go to "watch" or are dropped. ### Step 4: One action (5 min) From the shortlist, commit to exactly one action this week: prototype, benchmark, validate, or share with the team. Write it down with a deadline and a source link. ### Step 5: Document (5 min) Add one line to your running AI intelligence doc: date, what you noted, what you're doing about it, and the source. Over time, this becomes a searchable log of your AI decision history. ## Why 30 minutes works The constraint forces prioritization. If you give yourself 2 hours, you'll find 2 hours of things to read. 30 minutes forces you to cut to the essentials. ## Summary Weekly AI intelligence ritual: 30 minutes total. Collect → classify → shortlist → one action → document. One action with a deadline turns the ritual into decisions. ## FAQ **What if I want to go deeper on something?** Schedule a separate deep-dive session outside the ritual. Don't let it expand the 30 minutes. ## 延伸阅读 - [How to Track AI Developments Across GitHub, Blogs, and Launches](/articles/how-to-track-ai-across-github-blogs-launches) - [Comparing AI News Aggregators: What to Look For](/articles/comparing-ai-news-aggregators-what-to-look-for) - [How to Create an AI Trends Digest for Your Team](/articles/how-to-create-ai-trends-digest-for-your-team) - [AI Launches That Matter vs Launches That Don't: How to Tell](/articles/ai-launches-that-matter-vs-launches-that-dont) *RadarAI 聚合 AI 优质更新与开源信息，帮助开发者高效追踪 AI 行业动态，快速判断哪些方向具备了落地条件。*