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ENGINEERING CASE STUDY / 01

Agentic Commerce.

Intelligent checkout. Deterministic authorization. A clear boundary between reasoning and moving money.

AGENTIC SYSTEMS / BACKEND
PythonFastAPIPostgreSQLDocker
CHECKOUT AUTHORIZATION / SYSTEM OVERVIEWFLOW / 06
STEP 1 — BUYER INTENTINPUT BOUNDARY

PROJECT SCOPEControlled single-merchant demonstration; linked deployment availability may vary.

01 / CONTEXT

The problem worth solving.

An agent can interpret a purchase request. Spending money requires a separate, auditable permission boundary.

Engineering objectives

  • Constrain spending to an explicit capability.
  • Keep budget and payment state consistent.
  • Make authorization inspectable.

02 / SYSTEM DESIGN

Follow the flow.

LOGICAL DATA FLOWFLOW / 06
STEP 1 — BUYER INTENTINPUT BOUNDARY

Implementation details

  • Capability tokens bound permitted actions.
  • Catalog snapshots preserve the decision context.
  • An atomic ledger and payment state machine coordinate checkout.

03 / TRADEOFFS

The reasoning behind the code.

01

Separate intent from authority

The agent proposes. Deterministic checks authorize.

02

Make transitions explicit

A central state machine guards payment ordering.

Engineering challenges

Retries, stale catalogs, and concurrent purchases make transaction boundaries critical.

Security & performance boundaries

Capability checks, webhook verification, and atomic budget updates support the authorization boundary.

04 / EVIDENCE

What’s there. What’s next.

Source code and a linked audit dashboard demonstrate the checkout lifecycle. No throughput or conversion claims are presented.

Explore the source, documentation, and tests to inspect the implementation and its current boundaries.

Read the repository
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