Product study · Decision support
Swiss Retirement Planner
Compare Swiss retirement strategies with reproducible calculations and adviser-ready reports.
01 / The task
What needed to work
Swiss retirement analysis combines pension choices, dated evidence, taxes, fees and portfolio cash flows. This tool ties each scenario to its source inputs and calculation run.
My role
I built the local case workflow, accounting and portfolio engines, historical simulation and adviser report generator.
02 / Decisions
Where judgment mattered
Use exact minor-unit accounting
Use minor-unit money values and explicit Decimal rounding in portfolio and ledger calculations.
Hash and reuse one case snapshot
Hash the case inputs at compilation, then carry that same snapshot through execution and reporting.
Project approved fields into reports
Build reports from verified run files and project only fields allowed by the selected report profile.
Run historical samples through the same portfolio engine
Sample synchronized historical blocks and run each sample through the same deterministic portfolio engine.
03 / Agent contribution
How the work was directed
I use AI coding assistants to build independent projects, while owning product decisions, review and testing.
Owner account · General working method
These product decisions are grounded in the implementation and capture notes. The broader workflow is my account of how I work across these projects.
04 / Verification & result
What the evidence supports
Implemented functionality
- Source-backed case inputs. Store source documents and hashes, label evidence types and carry verification decisions into each case.
- Portfolio calculations. Run dated portfolio and ledger events with exact minor-unit accounting, explicit ordering and residual checks.
- Adviser report. Generate an offline HTML report from verified runs and an adviser-specific field allowlist, with linked metrics and scenario results.
Implementation inspected
The screenshots show demo data, public observations or labelled report presentations, as described in each caption.
05 / Product evidence
Selected screens
Supporting detail
Technology
- Python 3.13
- Pydantic 2
- Decimal exact accounting
- NumPy (stochastic boundary)
- PyMuPDF (PDF intake)
- openpyxl (XLSX intake)
- Offline HTML report rendering