Bionic Banker System Map

A simple map of AI-assisted finance risk work.

Use this when you want the shortest serious read: what Bionic Banker is, what runs, what records support it, what stays private, and what to check next.

Positioning

AI agents for finance risk. Simple records first, human control always.

Bionic Banker connects wallet-risk review, fraud and AML case work, agent workflows, and public writing. The rule is simple: show what happened, show what was checked, and keep the final decision with a person.

Flagship systems

6 inspectable systems, one map.

Record map

The public record map is counted and limited.

12 System cards

Rendered systems a reader can inspect.

8 Reader sections

Reader-facing sections with sources and boundaries.

21 Source links

Reader-facing sources linked from the evidence catalog.

36 Named limits

Explicit limits that prevent overclaiming.

46 Blog / notes

Writing that supports the finance, AI, and agent-system context.

Technical stack

Built from simple pieces a reader can recognize.

  • Astro static site with committed static output
  • GitHub repositories for code, issues, and public change history
  • Agent runtime for tool use, review records, and bounded workflows
  • Codex, Claude Code, and OpenCode-style coding agents tested as builders and reviewers
  • local models for low-cost reasoning tests
  • SQLite ledgers and queues for small-system records
  • Node.js QA checks for copy, links, metrics, and page framing
  • Mobile QA gate for layout regressions
What it cannot do

What stays outside the system.

  • No live wallet, trade, transfer, or fund power.
  • No SAR filing, KYC approval, enforcement, or final compliance decision.
  • No secrets, raw logs, customer data, or employer data.
  • No guarantee that synthetic samples reflect production performance.
Visual stack anchors

Named tools are useful when they clarify the system.

Some names make the record easier to understand. These anchors can support future diagrams, screenshots, or tool imagery without turning the site into a vendor pitch.

Agent runtime Review and tool-use layer

Useful visual: task card, trace row, or review checkpoint.

Coding tools Builder and reviewer lane

Useful visual: code review diff, test gate, reviewer lane, or build trace.

Local models Model route

Useful visual: model card, cost cap, or routing decision.

Record store Record and queue layer

Useful visual: ledger row, queue item, history row, or recovery record.

GitHub Public change history

Useful visual: commit trail, issue map, release note, or validator check.

Agent security research External risk reference

Useful visual: skill supply-chain diagram, trust boundary, or malicious-skill case note.

Questions for the reader

The useful conversation starts with one workflow at a time.

Which finance-risk workflow should be made more inspectable first?
Where should AI draft a note while a human keeps final approval?
Which review record would help a reader without hiding the source?
What public summary would show judgment without exposing private data?
Which limit matters most: wallet control, filing power, deployment power, or data privacy?

Get the Bionic source trail

One short note when an AI, finance, crypto, or risk signal becomes worth documenting. Source-backed notes only. No trading calls, no hype.