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Grok Build Tier & Workload Capacity Navigator

Real-time AI Coding Quotas & Context Degradation Model
1. Project Workload Model Tier: Free vs Paid
Workflow Preset
Project Name
Active Repository Files 14
Total Repo Context Size 85,000 tokens
Daily Prompt Velocity 45 prompts
Avg Code Generation Length 1,200 tokens
Context Caching Compaction
Free tier baseline: 50k tokens/day, 8k context window, 20 prompts/hr limit.
2. Real-Time Telemetry & Burn Diagnostics EXHAUSTED
Daily Token Burn 139,000
Free Bottleneck Prompt #18
Free Tier Status Exhausted
Paid Tier Utilization 13.9%
Burn-down Curve across Daily Prompt Iterations (0 - 45) Cutoff at Prompt #18
150k 100k 50k (Free Cap) 0
Cumulative Tokens Burned
Free Tier Quota Ceiling (50k)
Exhaustion / Throttling Horizon
RECOMMENDED TIER: SuperGrok / Paid Developer Tier
Your daily prompt volume (45 prompts) and 85k token repo context trigger the 50,000 token free limit by prompt #18. Active code refactor loops will stall with 429 rate throttles.
Recommended Action: Cache repo index and upgrade plan before CI integration
Tier Context Window Daily Token Pool Hourly Velocity Status for Project

The workload tool estimates tokens from assigned slices and fixture overrides

Read the explanation

Outside the exact representative fixture, source context slice ratios are point zero two with caching and point zero five without. For a hypothetical one hundred thousand repository tokens, these terms are two thousand and five thousand tokens. Bars share point zero eight pixels per token. The tool separately adds sixty tokens per file and applies a minimum. These are source assumptions, not measured API consumption or verified current model limits. The generic context estimate adds active file count times sixty to the repository slice before rounding and its eight-hundred-token minimum. Ten and twenty files contribute six hundred and twelve hundred tokens. Bars share point three pixels per file-term token. The exact fixture instead assigns one thousand eight hundred eighty-nine input tokens and a separate cutoff override. Total daily burn is entered prompt count times assigned input tokens plus output tokens. If each prompt totals two thousand tokens, ten and twenty prompts assign twenty thousand and forty thousand. Bars share point zero one pixels per daily token. Saved free and paid caps and plan recommendations are fixed source labels, not independently verified current provider policies. Full native JSON/reset and responsive first-footer preservation remain checked.

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