Regulatory CDM & lineage platform Flagship
Central-bank reporting, source to submitted form
Goal
Prove that every field of every regulatory form can be traced back to a source column through an approved, auditable chain — and keep that guarantee automated as the model grows.
Approach
- Canonical data model over the full regulatory form set, with transformation rules carrying explicit atomic steps and ready-to-review SQL prototypes.
- Acceptance built as gates rather than opinion: terminal reachability, business-approval coverage, ambiguity resolution, plus nine extended semantic checks (temporal consistency, aggregation grain, cross-form reconciliation, silent-override and default-inflation detection).
- Physical layer with 100% comment coverage, distribution documented per table, and an idempotent installer that renders any script into a repeatable form and proves it by two live runs plus catalog diff.
- Append-only audit trail with hash-chained records, so evidence cannot be quietly rewritten.
Value
A reporting model that can answer an auditor's question mechanically — which rule produced this figure, from which source, approved by whom — instead of by manual archaeology.
191
regulatory forms covered
1,098
transformation rules
13,388
field bindings, all approved
1,918
tables / 44,474 columns commented
PostgreSQL 16GreenplumPythonAirflowNeo4j / OpenLineage exports
Marketplace seller copilot
Diagnostics and actions for e-commerce listings
Goal
Give a marketplace seller a diagnosis of their listing plus concrete actions, rather than generic AI copywriting.
Approach
- Mobile-first PWA over a provider-agnostic LLM backend; prompt, response validator, API specification and evals changed as one unit — a drift between them is treated as a defect.
- Evaluation contour beyond assertions: fixtures for stable inputs, deterministic baselines and inputs that must be rejected, plus content-quality guards for language, placeholder text and category coherence.
- Operator surface with budget hard-stops before provider calls, logging sanitation and rollout readiness that only trusts a full verification run.
Value
LLM output became reviewable engineering: regressions are locked by tests, and release readiness is a measured state rather than a feeling.
29
defect-locking regression smokes
Node.jsPWAAnthropic APIOllamaJSON contracts
Vertical video generator for real estate
Photos and facts to a finished reel
Goal
Turn a handful of property photos and facts into a publishable vertical video with script and subtitles, with no paid API in the MVP path.
Approach
- Contracts-first delivery: every interface versioned as schema plus golden fixture plus a fixture that must fail, with a dependency-free validator reused by the layer above it.
- Event-stream contract fixed by sequence fixtures, including terminal replay on reconnect and an out-of-order event that must be rejected.
- Promotion fence for canonical documents: source path, decision id and content hash in the header, edits only through a new version.
Value
A media pipeline where the boundary between components is enforced by tests, so a backend change cannot silently break the renderer.
0
paid APIs in the MVP path
Next.jsTypeScriptffmpeglocal TTSOllama / Qwen
Operations assistant for regulated SMB
Documents, requests and contracts with a human gate
Goal
Put retrieval-augmented answering into back-office operations where a wrong answer has legal cost, so the assistant must be provably grounded.
Approach
- Retrieval evaluated by a deterministic offline gate on an isolated corpus: source hit rate, citation precision, groundedness and a fail-closed answer when the corpus does not contain the fact.
- Every external connector ships as adapter plus mock, with live mode behind explicit flags and read access separated from write access.
- Each mutating endpoint has a read-only pre-flight twin that reveals blockers before side effects; dual approval and requester-approver separation for high-risk actions.
Value
An assistant that says "not found" instead of inventing, and a rollout path where enabling real integrations is a deliberate, reversible switch.
fail-closed
unknown-answer policy
read ≠ write
adapter permission model
PythonFastAPIpgvectorRAG evalsPrometheus
Integration hub: identity, payments, LLM channel
One contract, providers behind adapters
Goal
Stop rewriting integrations per project: expose one stable interface per domain and hide the provider and the jurisdiction behind it.
Approach
- Identity as a single provider interface normalizing six live providers, with the protocol quirks of each documented rather than discovered twice.
- Unified LLM channel with free and paid tiers, model-array fallback handled by the gateway, zero-retention flags and a demo mode that works with no key at all.
- Payment and billing domains split by jurisdiction behind the same contract, so a project chooses a zone instead of a vendor.
Value
Adding a provider or a country stopped touching product code, and every consumer degrades gracefully instead of failing when a key is absent.
6
identity providers verified live
2
jurisdiction zones behind one contract
PythonFastAPIOAuth2 / PKCEOpenRouterKeycloak
OCR / vision scoring service
Screenshots to a priced valuation
Goal
Read structured facts off user screenshots and turn them into a defensible price, with no hand-waved coefficients.
Approach
- Three recognition engines behind one record contract with automatic fallback, so the engine can change without touching the frontend.
- Cost control and reproducibility: expensive vision calls cached by image hash, low-confidence values routed to review instead of being written.
- Pricing calibrated by non-negative least squares against actual sales rather than intuition, with a golden set guarding every runtime change.
Value
Recognition accuracy and price quality became measurable, and the strict mode means the service never silently invents a value it could not read.
R² 0.42 → 0.82
price model after calibration
100%
golden-set classification
FastAPIEasyOCRCLIPVision LLMSciPySQLite
Legaltech mobile app
Citizen document workflows
Goal
Walk a non-lawyer from a life situation to a correctly filled document package they can actually submit.
Approach
- Situation catalogue with questionnaire-driven document generation, evidence hub and case tracking, content shipped as versioned data bundles rather than hard-coded screens.
- Personal-data compliance built in: consent flow, local PIN lock, revoke-and-delete path.
- Payment channel abstracted behind one purchase interface, with an unavailable-channel fallback so an unsupported store degrades instead of crashing.
Value
Content and monetization can change per market without touching the UI layer, and the build stays green when a payment provider is unavailable.
Flutter / DartJSON content bundlesPDF / DOCX generation
Engineering knowledge system for AI agents
Distilled standards that agents actually follow
Goal
Stop re-explaining project standards to AI assistants: encode each domain's conventions, traps and acceptance checklists once, in a form an agent loads automatically.
Approach
- Twenty-nine skills distilled from real repositories and incident registers, grouped by prefix — warehouse, per-client standards, product domains, cross-cutting discipline.
- Single-source discipline: canonical copies, generated HTML catalogue, mirror synchronization and a re-tiling tool so a shared block cannot drift between copies.
- Every skill carries the reason it exists and the acceptance checklist, so its guidance is auditable rather than folklore.
Value
Onboarding a new engagement or agent takes minutes: the standard, the known traps and the definition of done arrive together.
1
source of truth per rule
MarkdownPythonClaude CodeGit
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