lim stats
Monitor how the learning engine is performing and view a real-time financial dashboard.
stats
Show learning engine metrics for the active company.
Learning Engine Metrics
──────────────────────────────────────────────────────────────
Total rules: 47
Active: 42
Deactivated: 5
Judgment breakdown (last 30 days):
Rule match: 312 (89.1%)
History match: 23 ( 6.6%)
AI inference: 8 ( 2.3%)
Escalated: 7 ( 2.0%)
──────────────────────────────────────────────────────────────
Total entries: 350
Auto-posted: 287 (82.0%)
Average confidence: 0.93
AI cost (last 30 days): $0.42
──────────────────────────────────────────────────────────────
What the Numbers Mean
- Rule match % — Transactions resolved by deterministic rules. Zero AI cost. This percentage grows over time as the system learns.
- History match % — Resolved by finding similar past transactions. Zero AI cost.
- AI inference % — Required an LLM call. This percentage should decrease over time.
- Escalated % — Could not be resolved automatically; sent to a human for review.
- Auto-posted % — Entries that were posted without human confirmation (rule confidence >= 0.95).
- AI cost — Total LLM API cost for the period.
A well-trained company should see 90%+ rule match rate within 3 months. If your AI inference rate is still high, check that you’re confirming (not editing) suggested entries when they’re correct — this is how rules are learned.
Flags
| Flag | Description |
|---|
--days | Lookback period in days (default: 30) |
--format | Output format: table, json |
# Last 90 days
lim stats --days 90
# JSON output for monitoring
lim stats --format json
dashboard show
Show a real-time financial dashboard combining key financial metrics.
lim Dashboard — My Startup Inc.
══════════════════════════════════════════════════════════════
Cash Position Runway
Cash: ¥2,450,000 Monthly burn: ¥710,000
AR: ¥1,650,000 Runway: 3.5 months
AP: -¥1,320,000
P&L (2026-01 ~ 2026-03) Judgment Engine
Revenue: ¥3,300,000 Rules: 47 active
Expenses: ¥710,000 Auto-post: 82%
Net income: ¥2,590,000 AI cost: ¥63/month
Alerts (0 active)
✅ No active alerts
Pending Items
Draft entries: 3
Unmatched bank: 2
Needs approval: 0
══════════════════════════════════════════════════════════════
- Cash Position — Current cash, receivables, and payables
- Runway — Months of cash remaining based on average monthly burn (last 3 months)
- P&L Summary — Current fiscal year revenue, expenses, and net income
- Judgment Engine — Active rules, auto-post rate, and AI cost
- Alerts — Any triggered alert rules
- Pending Items — Draft entries, unmatched bank transactions, and pending approvals
Flags
| Flag | Description |
|---|
--format | Output format: table, json |
dashboard flywheel
Show learning flywheel stats — manual vs automated transaction breakdown over time.
Learning Flywheel (last 6 months)
──────────────────────────────────────────────────────────────
Month Manual Automated Auto %
2025-10 18 82 82.0%
2025-11 12 88 88.0%
2025-12 9 91 91.0%
2026-01 7 93 93.0%
2026-02 6 94 94.0%
2026-03 5 95 95.0%
──────────────────────────────────────────────────────────────
dashboard runway
Show cash runway calculation based on average monthly burn rate.
Cash Runway
──────────────────────────────────────────────────────────────
Current cash: ¥2,450,000
Monthly burn (avg): ¥710,000
Runway: 3.5 months
──────────────────────────────────────────────────────────────
dashboard pnl
Show a summary P&L for the current month.
P&L Summary — March 2026
──────────────────────────────────────────────────────────────
Revenue: ¥1,100,000
Expenses: ¥710,000
──────────────────────────────────────────────────────────────
Net income: ¥390,000
──────────────────────────────────────────────────────────────
Use lim dashboard show --format json to pipe dashboard data into monitoring tools, Slack bots, or custom dashboards.
