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mood-pixels

mahshid/mood-pixels · Homepage

Mood tracker turning daily check-ins into mood, energy, and self-care nudges.

Automated README summary

Automatically summarized from the README on 1 Oct 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.

What it is

Mood Pixels is a small mood tracker for anyone who wants a quick daily check-in. It classifies a short text as Sparkly, Cozy, Tired, Sad, or Frustrated, shows an energy score and self-care nudge, and colours a Year in Pixels calendar.

How it uses Jev

The server-side endpoint src/app/api/jev/route.ts uses TypeSafe AI to classify the check-in text into one of five moods and produce an energy score from 1 to 5 plus a short self-care nudge. The result is saved in browser localStorage and used to colour the calendar day.

Primitives:choicescore

Technique worth stealing

Use a typed choice for mood classification and a score for energy, keeping the model output structured and easy to store.

Try it

npm ci; cp .env.example .env; add TYPESAFE_API_KEY; npm run dev; open localhost:3000

View on GitHub

Start using Jev: API key and your first request →

Model judgments from README excerpts

Project signals use repository metadata, an existing summary and the first 700 README characters, not the full project. “Not found” means not detected in that material; it does not establish absence. These are the original judgments with recorded models and dates, not source audits or run results.

Models & evaluation dates

Inclusion gate
jev-1.13.0
Project signals
jev-1.13.0
Category
jev-1.13.0
Pattern tags
jev-1.13.0

Evidence

These signals use repository metadata, an existing summary and at most 700 cleaned README characters. ≥ 0.60 means reported in that excerpt; ≤ 0.40 means not found there. The middle band is inconclusive. None is a source-code audit or a test result. The runnable-tool question excludes research experiments; the recommendation question asks for a learning shortlist, not a quality verdict.

  • Jev is core to the projectFound in material0.91
  • Shows a System One patternnot found in the excerpt0.12
  • Describes handling uncertaintynot found in the excerpt0.04
  • Reports measured numbersnot found in the excerpt0.08
  • Is a runnable toolFound in material0.67
  • Top-10 learning shortlist signalnot found in the excerpt0.22
  • Is a replica of the modelnot found in the excerpt0.06
  • Solves a common problem (0–2)score on a 0–2 scale0.54 / 2
  • About JevFound in material0.95
Signals
Jev is core to the project0.91Shows a System One pattern0.12Describes handling uncertainty0.04Reports measured numbers0.08Is a runnable tool0.67Top-10 learning shortlist signal0.22Is a replica of the model0.0600.51Solves a common problem (0–2)0.54 / 2012

no-judgment band (0.40–0.60)

Design patterns
Viewfinder0.5200.51

no-judgment band (0.40–0.60)

The Jev model and date for each judgment stage are listed above. Card written by DeepSeek V4.1 Flash from the README on 1 Oct 2026.