Environment & Simulation
Stage 3 active · Expert baseline & performance scoreboard · Stages 1 & 2 complete ✓
Current stage
3 / 6
Expert Baseline
Gates passed
10 / 10
Stages 1 & 2 ✓
Patterns defined
60
SP30 + BP30 ✓
Client archetypes
18
8 industries ✓
Behaviour Pattern Library
+ Add pattern
60 patternsSP30 seller · BP30 buyer0 confirmed
/th>
ID Name (RU) Behaviour type/th> Trigger / Condition Action Status
SP01 —
×
/label>
—
/label>
—
/label>
—
/label>
—
/label>
—
/label>
—
Trigger × Response Matrix
Reset weights
20 triggers12 response types— active links
Strength:
None
Weak
Medium
Strong
Click cell to cycle strength
Coverage & Balance Check
Gate: waiting
— coverage— balance
1000
15
42
Pattern activations (top 20) Balance gate
Run coverage check to see results
Coverage — all 60 patterns Coverage gate
SP triggered BP triggered
—
Account Profiles
+ Add archetype
— accounts— industries
Card view
Relationship editor
Market Model — LME Aluminium Price
Recalculate
LME — USD/t— market shocks
Parameters
2450
+0.3%
0.8%
6.0%
3
42
Min—
Max—
Avg—
Volatility σ—
LME price — Jan 2024 to Mar 2026 (26-month simulation) Price Black swans
Account Timeline — Daily Decision Log
Run 100-day simulation
No account selected— events logged
Select account
Data access boundary
Run to verify
Event log —
Select an account and run simulation to see the decision log
Stage 2 gate checks
${['Reproducibility — same inputs produce identical results','Accounting identity — revenue − costs = margin (always)','Plausibility — 100-day account log reviewed and confirmed','Data access boundary — agent never sees hidden state','Edge cases — zero budget, inactive accounts, all silent','Margin range — values within realistic PLN range for aluminium B2B'].map((label,i) => `
${label}
`).join('')}
Expert vs AI Scoreboard
Export CSV
Expert baseline: — AI system: pending Delta: —
Expert model parameters
Known seller patterns
20 / 30
Pattern miss rate
15%
Expert bias type
Accounts managed
15
Daily capacity (hours)
8h
Monthly budget (PLN)
25,000
Performance comparison — 26-month simulation Simulated · not real data
Method Total margin (PLN) vs Random vs Expert Accounts retained Status
Cumulative margin over 26 months Random Expert AI system Upper bound
Outcome distribution (50 runs)
Statistical significance
Run scoreboard to see results