What the product looks like
A gallery of mockups on phone and computer frames. Every figure is static representative data — the two charts render from hard-coded, locked datasets with no live fetch, and each chart is paired with a data table so the numbers survive even without charts.
§5.1 — Client overview
§5.2 — Observations feed
Each time or money event is an Observation with a coded behavior, a human label, a category chip, a date, and a value. The $12,500 golf-cart purchase on 2026-09-28 (row 11) is the anomaly that breaches the deviation band in §5.3 and triggers the syndication flow in §5.6 — it is styled in risk red.
- MONEY-TOBACCO $14 Tobacco purchase
- TIME-GOLF 180 min Golf (calendar)
- MONEY-TOBACCO $14 Tobacco purchase
- MONEY-METAL $320 Silver purchase
- MONEY-GAMBLE $75 Online gambling
- TIME-GOLF 240 min Golf (calendar)
- MONEY-TOBACCO $14 Tobacco purchase
- MONEY-DINING $110 Dining out
- MONEY-GAMBLE $90 Online gambling
- MONEY-METAL $300 Silver purchase
- MONEY-GOLFCART $12,500 Golf-cart purchase
- MONEY-TOBACCO $14 Tobacco purchase
§5.3 — Rolling metrics
Weekly money-spend (W1–W12, 2026-07-06 → 2026-09-28) with its 4-week trailing rolling average and a ±1.5σ deviation band. Normal weeks range roughly $1,500–$2,950 and stay comfortably inside the band. W12's $12,500 golf-cart purchase (Observation row 11) is evaluated against the pre-spike band — it clears the ~$2,632 ceiling by roughly 4.75×, so it's flagged as a detected anomaly, marked in risk red.
Charts unavailable offline — see the table below.
| Week | Spend ($) | Rolling avg ($) | Band upper ($) | Band lower ($) |
|---|---|---|---|---|
| W1 | 1850 | 1850 | 1850 | 1850 |
| W2 | 2400 | 2125 | 2538 | 1712 |
| W3 | 1600 | 1950 | 2451 | 1449 |
| W4 | 2950 | 2200 | 2981 | 1419 |
| W5 | 2100 | 2262 | 2996 | 1529 |
| W6 | 1750 | 2100 | 2885 | 1315 |
| W7 | 2650 | 2362 | 3063 | 1662 |
| W8 | 1500 | 2000 | 2647 | 1353 |
| W9 | 2300 | 2050 | 2727 | 1373 |
| W10 | 1950 | 2100 | 2739 | 1461 |
| W11 | 2500 | 2062 | 2632 | 1493 |
| W12 | 12514 | 2062 | 2632 | 1493 |
§5.3b — Time utilization & behavioral drift
Money is only half the signal. This view treats how the Client spends their time as a first-class behavior: each week is a full bar split into activity shares (Work, Health/Fitness, Family/Social, Leisure/Golf, Admin/Finance), derived from calendar time Observations. Anomaly detection here is not a single spike but behavioral drift — the Leisure/Golf share is tracked against its own trailing baseline, and W12 breaches it: Leisure/Golf balloons to 36% of logged time (34 h) while Health collapses to 3% and Family to 7%. The time signal corroborates the money spike in §5.3 — the same week as the $12,500 golf-cart purchase.
Charts unavailable offline — see the table below.
| Week | Work (h) | Health (h) | Family (h) | Leisure/Golf (h) | Admin (h) | Leisure share | Drift threshold |
|---|---|---|---|---|---|---|---|
| W1 | 45 | 10 | 18 | 8 | 5 | 9% | 12% |
| W2 | 48 | 9 | 16 | 9 | 6 | 10% | 12% |
| W3 | 44 | 11 | 19 | 8 | 5 | 9% | 10% |
| W4 | 50 | 8 | 15 | 9 | 4 | 10% | 10% |
| W5 | 46 | 10 | 17 | 8 | 6 | 9% | 10% |
| W6 | 47 | 12 | 16 | 9 | 5 | 10% | 10% |
| W7 | 43 | 9 | 20 | 8 | 6 | 9% | 10% |
| W8 | 49 | 10 | 17 | 9 | 5 | 10% | 10% |
| W9 | 45 | 11 | 18 | 8 | 6 | 9% | 10% |
| W10 | 46 | 9 | 19 | 9 | 5 | 10% | 10% |
| W11 | 48 | 10 | 16 | 8 | 5 | 9% | 10% |
| W12 | 44 | 3 | 7 | 34 | 6 | 36% | 10% |
§5.4 — RiskAssessment card
Risk → consequence: tobacco behavior
- Behavior basis: the recurring
MONEY-TOBACCOObservations from the §5.2 feed. - Modeled lung-cancer probability band: 0.25%–0.4% (illustrative modeling — not a medical or actuarial determination).
- Modeled financial consequence: premium impact labeled illustrative, surfaced to the Client and used as the trigger for the insurance-broker syndication flow (§5.6).
This is illustrative modeling — not a medical or actuarial determination. The 0.25%–0.4% band is the narrative's own illustrative figure and does not describe any real individual.
§5.5 — Immunized goal-funding view
The account.ninja → immunized-baseline integration. Money is placed into three interest-earning tiers — LOW / MEDIUM / HIGH risk — using a fixed 40 / 35 / 25 barbell split (midpoint returns 4.5% / 7% / 11%). We compare two ways to get started: putting 10% down vs 20% down up front. The chart below plots total balance growing to the $90,000 goal for each scenario — 10% down in magenta, 20% down in cyan — deliberately colored apart from the three risk tiers so a scenario line is never mistaken for a tier.
How to read the tables: the Up-front lump sum columns show the one-time down payment and how the 40/35/25 split sends it into LOW/MED/HIGH. The Per-cycle vesting columns show what you contribute to each tier every cycle thereafter. Put more down up front (20%) and the per-cycle amount you still need drops — that's the relief compound interest buys you. Figures are copied to the cent from the deterministic account-ninja vesting-schedule CSVs.
| Scenario | Up-front lump sum (split 40/35/25) | Per-cycle vesting (every cycle) | ||||||
|---|---|---|---|---|---|---|---|---|
| Total down | LOW 40% | MED 35% | HIGH 25% | LOW | MED | HIGH | Total / cycle | |
| 10% down | $9,000 | $3,600 | $3,150 | $2,250 | $469.98 | $378.85 | $235.34 | $1,084.16 |
| 20% down | $18,000 | $7,200 | $6,300 | $4,500 | $402.96 | $316.62 | $186.59 | $906.17 |
| Scenario | Up-front lump sum (split 40/35/25) | Per-cycle vesting (every cycle) | ||||||
|---|---|---|---|---|---|---|---|---|
| Total down | LOW 40% | MED 35% | HIGH 25% | LOW | MED | HIGH | Total / cycle | |
| 10% down | $4,800 | $1,920 | $1,680 | $1,200 | $1,403.84 | $1,210.96 | $845.27 | $3,460.07 |
| 20% down | $9,600 | $3,840 | $3,360 | $2,400 | $1,239.97 | $1,065.67 | $739.30 | $3,044.93 |
Note on the narrative's 3% / 6% / 12%. The driving narrative casually mentions "the 3% investment, the 6% investment, the 12% investment accounts." Those offhand figures are superseded by the account-ninja pipeline's modeled tier midpoints LOW 4.5% / MEDIUM 7% / HIGH 11% (per the pipeline README) and its 40/35/25 barbell split. The deterministic CSV outputs are authoritative; use 4.5/7/11% everywhere.
These figures come from the deterministic account-ninja report pipeline and are educational modeling — not projections of real returns.
§5.6 — Syndication & human-in-the-loop
The breach in §5.3 and the golf-cart Observation in §5.2 fire a notification thread to Jim. Pre-approval data is syndicated from an insurer pipeline, and a human insurance-broker Practitioner is offered as bookable Encounter slots the Client approves.
This is not purely behind the scenes: a human (the insurance-broker Practitioner) is in the loop, and the Client approves the action.