Projects + Labs

Projects as simple proof surfaces.

Each card shows the same pattern: what it is, what goes in, what comes out, where to inspect it, and what decision it does not make. Simple enough to scan. Specific enough to trust.

Project 01 46 tests passing

AML Review Engine

Turns transaction rows into risk flags, evidence notes, and a human-review queue.

InputTransaction rows
OutputRisk queue + rule reasons + evidence note
Boundary

Triage only. It does not accuse, file, freeze, approve, or make a final compliance decision.

Project 02 static app build passes

Bionic Lab App

A compact finance-intelligence dashboard for signals, planning, AML view, and market context.

InputPublic demo data + dashboard state
OutputInteractive app surface with cards, charts, and guardrails
Boundary

Demo surface only. It does not connect to accounts, move funds, or give investment advice.

Project 03 control demo

Governed Agent Proof

A small agent-control proof for retrieval, safety checks, role boundaries, and audit traces.

InputTask request + policy context
OutputReviewed agent response + traceable control path
Boundary

Proof environment only. It does not approve customer decisions or operate production systems.

Project 04 checklist + tutorial live

AI-Agent Payment Control

Shows how AI-agent payments should leave a receipt trail before autonomy increases.

InputRequest + rule + payment event
OutputControl checklist + receipt-layer review path
Boundary

No wallet authority. No production payment execution. Human approval stays outside the agent.

Project 05 interactive pages live

Wallet & Fraud Risk Review

Packages wallet-risk and fraud signals into readable case notes instead of verdicts.

InputWallet row / fraud signal
OutputRisk explanation + source limits + next review step
Boundary

Educational review surface. Not trading advice, legal advice, enforcement, or customer decisioning.

Project 06 testnet proof only

Kite Testnet Proof

Records Kite testnet and decentralized-infrastructure work with paper-mode portfolio state.

InputPublic market snapshot + testnet configuration
OutputPaper-mode portfolio state + testnet execution record
Boundary

No real-fund execution, no wallet power, no order power. This is not investment advice.

Project 07 lessons page

Agent Operations Lessons

Shows lessons from small agent systems: recovery, visibility, roles, review, and limits.

InputSystem lessons + review records
OutputOperating lessons + review boundary
Boundary

Public lessons only. No production authority, live credentials, or autonomous outside action.

Project 08 simulation model

Agent Agreement Arena

A board-style proof for two AI agents proposing, challenging, and scoring bounded decisions before any outside action.

InputScenario + constraints + scoring rule
OutputMove record + review note + agreement receipt
Boundary

Simulation and review only. No live trades, deposits, wallet custody, customer decisions, or autonomous financial action.

Project 09 review kit

Technical AI Writing Review Kit

Turns an AI article or technical claim into a claim-source-boundary review worksheet and reusable checklist.

InputArticle claim + source links
OutputReview worksheet + checklist + example audit
Boundary

Writing and evidence review only. It does not certify accuracy, replace expert review, or approve regulated communications.

Project 10 research map

Context Engineering Research Map

A map of memory, MCP, orchestration, coding-agent, and governance research themes explored through open systems.

InputPublic frameworks + open research notes
OutputPattern map + safe references + packaging candidates
Boundary

Research map only. It does not republish third-party code, private logs, or hidden agent instructions.

Project 11 feature concept

Finance AI Review Queue

Packages AI outputs as reviewable work items before they become finance, compliance, or customer decisions.

InputAI output + source trail + exception context
OutputReviewer queue item + decision reason + audit note
Boundary

Review interface only. It does not approve, deny, escalate, file, or execute regulated actions.

Project 12 feature concept

Evidence Pack Workflow

Turns a public claim into a compact packet: source, claim, boundary, artifact, and reviewer action.

InputPublic claim + source links + artifact
OutputEvidence packet + reusable checklist + publishing boundary
Boundary

Evidence workflow only. It does not guarantee truth, certify compliance, or replace expert review.

Project 13 feature concept

AI Claim Boundary Mapper

Turns an AI or finance claim into a source trail, confidence note, missing-evidence list, and reader-safe boundary.

InputClaim + source links + intended use
OutputClaim map + evidence gaps + review action
Boundary

Analysis aid only. It does not certify truth, approve compliance, or replace expert judgment.

Project 14 feature concept

Source-to-Decision Control Map

Shows the path from public source, model output, validation check, human review, and final decision boundary.

InputSource note + model output + review question
OutputControl map + decision boundary + next review step
Boundary

Mapping surface only. It does not automate approvals, filings, payments, trades, or customer actions.

bionicproject → feature → output → evidence

Project features

Each project is shown as a working surface.

The page focuses on what a project does: the feature, the input, the output, the evidence link, and the decision it deliberately leaves to people.

Visible proof

Projects show the artifact first.

Each card explains what the project does, what goes in, what comes out, and where to open the demo, article, source, or evidence surface.

Useful features

Features are described as working capabilities.

Review queues, evidence packets, source trails, control maps, scoring rules, dashboards, and checklists are shown as project features, not process notes.

Clear limits

Boundaries protect the reader and the work.

Finance, AI, wallet, payment, and compliance projects state what they do not decide or execute so the value is understandable without overclaiming.

How to read this page

Pick a project, then inspect the feature and evidence.

Start with a project card, open the related surface, and follow the input, output, feature, evidence, and boundary.

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.