Summarize Japanese tech articles from Qiita and note into Slack

Every day it gathers new Japanese AI and engineering articles from Qiita and note, summarizes them, and posts a digest to Slack.

How the work actually flows

A straight line. Runs once per top ten articles.

Pattern: Sequence (1) ยท Multiple Instances with a priori Run-Time Knowledge (14)

flowchart TD trig(["schedule fires every day"]):::trigtime s0["gather qiita and note articles"]:::task s1["filter to last 24 hours"]:::task s2["rank and pick top ten"]:::task s3[["summarize each article"]]:::mi s4["post digest to slack"]:::svc trig --> s0 s0 --> s1 s1 --> s2 s2 -->|"one per top ten articles"| s3 s3 --> s4 out[/"daily digest posted to slack"/]:::out pay{{"stay current without reading everything"}}:::pay s4 --> out out --> pay classDef task fill:#e7f6fe,stroke:#34b8f0,color:#2c2a29 classDef svc fill:#f6f8fa,stroke:#7c8795,color:#2c2a29 classDef mi fill:#e7f6fe,stroke:#0079a8,color:#2c2a29,stroke-width:2px classDef human fill:#fff,stroke:#0079a8,color:#0079a8 classDef store fill:#f6f8fa,stroke:#0079a8,color:#2c2a29 classDef trig fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigtime fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigdata fill:#8ad4f5,stroke:#0079a8,color:#06314c,font-weight:bold classDef gate fill:#fff,stroke:#e8a23d,color:#6b4708,font-weight:bold classDef out fill:#1f9d6b,stroke:#167a53,color:#fff,font-weight:bold classDef pay fill:#06314c,stroke:#021f33,color:#fff
Starts itA stepAn outside serviceRuns once per itemResultPayoff
Build size
Advanced

A larger build with multiple systems, AI reasoning, and custom rules.

Business functions
AI Agents & Autonomous SystemsMessaging & NotificationsReporting & AnalyticsResearch & Market Intelligence
Connects
QiitanoteGoogle GeminiOpenAISlack

The problem it solves

You want to keep up with what other engineers are learning, but new articles show up faster than you can read them. Digging through separate sites every day eats time you don't have, and useful, practical tips get buried under the noise.

Who it fits

A Japanese-speaking engineer, product manager, or technical lead who wants a daily digest of practical AI and engineering knowledge.

How it works

  1. Checks Qiita and note feeds each day for new articles
  2. Keeps only the ones posted in the last 24 hours
  3. Uses AI to rank them and pick the most useful ten
  4. Reads each article and writes a Japanese summary of its audience, use cases, and pros and cons
  5. Posts the finished digest to a Slack channel
What you get

A digest of articles you'd never have found otherwise

You get a daily Slack digest of the best new Japanese AI and engineering articles, summarized and ready to read in minutes.

What you get

A daily Slack message with concise Japanese summaries of the best new AI and engineering articles.

What you need

Google Gemini and OpenAI API access, plus a Slack account with a channel for the digest.

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