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SpotAsk

shiquda/SpotAsk · Homepage

Mac menu bar AI assistant with hotkey ask and smart routing.

Classification & Routing1.00Runner-up: Verification & Guardrails
Automated README summary

Automatically summarized from the README on 3 Nov 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.

What it is

SpotAsk is a free, open-source macOS menu bar app for quick AI questions: press ⌥Space to ask with your own API key, act on selected text, or route questions to web AI, desktop apps, or local CLI agents.

How it uses Jev

When automatic routing is enabled, SpotAsk asks a decision model (such as jev) before sending, using a typed Choice over configured channels. The model returns a recommended destination with a confidence score; the user confirms with ↩, switches with Tab, or cancels with Esc, or auto-sends above a confidence threshold.

Primitives:choice

Technique worth stealing

Use a typed Choice over configured channels to route queries, with confidence-threshold auto-send and inline confirmation.

Try it

Download the DMG from GitHub Releases or install via Homebrew, then configure a provider in Settings.

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-1.14.0
Project signals
jev-1.14.0
Category
jev-1.14.0
Pattern tags
jev-1.14.0

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 projectnot found in the excerpt0.38
  • Shows a System One patternFound in material0.71
  • Describes handling uncertaintyunclear0.43
  • Reports measured numbersnot found in the excerpt0.02
  • Is a runnable toolFound in material0.99
  • Top-10 learning shortlist signalnot found in the excerpt0.25
  • Is a replica of the modelnot found in the excerpt0.06
  • Solves a common problem (0–2)score on a 0–2 scale1.17 / 2
  • About JevFound in material0.70
Signals
Jev is core to the project0.38Shows a System One pattern0.71Describes handling uncertainty0.43Reports measured numbers0.02Is a runnable tool0.99Top-10 learning shortlist signal0.25Is a replica of the model0.0600.51Solves a common problem (0–2)1.17 / 2012

no-judgment band (0.40–0.60)

Design patterns
Ghostwriter0.55Funnel0.4900.51

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 3 Nov 2026.