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bing-rewards-automation

ljcyt/bing-rewards-automation

adb+Python Bing Rewards daily automation with Jev decision fallback.

Agent Decisions0.85Runner-up: Verification & GuardrailsFunnelFail open, fail closed
Automated README summary

Automatically summarized from the README on 13 Oct 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.

What it is

Automates five daily Microsoft Rewards tasks (check-in, searches, activities, reading, quiz cards) on cloud phones via pure adb and Python, for users running Bing on Android devices.

How it uses Jev

Jev is called via /v1/systemone with a state and typed questions (choice, noul) to pick the next UI action or detect no-op steps. Its answers are confidence-gated; low confidence or API failure falls back to a rule engine.

Primitives:choicenoul

Technique worth stealing

Confidence-gated LLM decisions with deterministic rule-engine fallback and hard-forbidden-zone blacklist.

Try it

adb connect 127.0.0.1:55556; python bing_rewards.py --dry-run

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 projectnot found in the excerpt0.08
  • Shows a System One patternFound in material0.83
  • Describes handling uncertaintynot found in the excerpt0.34
  • Reports measured numbersnot found in the excerpt0.06
  • Is a runnable toolFound in material0.96
  • Top-10 learning shortlist signalnot found in the excerpt0.23
  • Is a replica of the modelnot found in the excerpt0.04
  • Solves a common problem (0–2)score on a 0–2 scale0.91 / 2
  • About JevFound in material0.95
Signals
Jev is core to the project0.08Shows a System One pattern0.83Describes handling uncertainty0.34Reports measured numbers0.06Is a runnable tool0.96Top-10 learning shortlist signal0.23Is a replica of the model0.0400.51Solves a common problem (0–2)0.91 / 2012

no-judgment band (0.40–0.60)

Design patterns
Fail open, fail closed0.92Funnel0.90Menu0.49Blind review0.40Questionnaire0.28Inspection0.2600.51

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 13 Oct 2026.