Archive preview
Historical essays show the thesis and workflow preview. The full examples, prompt pack, and downloadable packet unlock with a one-time purchase or archive pass.
The signal
Practitioners are drowning in model launches, papers, demos, benchmarks, and X threads. The useful move is no longer finding more links. It is ranking the few techniques that can become repeatable work.
Why it matters
A knowledge worker does not need another AI news feed. They need a sane way to decide what changes Monday morning.
The work is not to keep up with AI. Nobody can keep up with AI as a stream. The work is to convert the stream into a small review queue.
Workflow
Workflow preview
- Collect raw signals from X, arXiv, GitHub, official docs, demos, newsletters, and field notes.
- Normalize each signal into one candidate technique with a title, source, date, review status, and editorial question.
- Score novelty, repeatability, evidence, and fit for your audience before reading too deeply.
Prompts
Prompt preview
Convert these AI links into a review queue. For each item, give me the likely technique, source quality, audience fit, repeatability, and whether it belongs in review first, watch, or hold.
Watchouts
Where this goes wrong
- Do not let source prestige substitute for transferability.
- Do not promote a benchmark result unless it changes a workflow.
- Do not write an essay until the signal can be explained without the original hype.
Sources
Sources checked
- Best when fed by a daily X practitioner sweep plus arXiv, GitHub, official docs, and field-note collectors.
- The queue should be human-edited even when the collectors are agent-run.
- The next product step is turning promoted signals into paid historical packets.
Packet
Downloadable review-queue template
- Scoring rubric
- Source triage checklist
- Prompt pack for queue review
- Examples for coders, analysts, and teams