Customer Artifact Generation with Claude Code: Build vs Buy Decision
A production playbook for customer artifact generation in cross-industry operations using Claude Code: build vs buy decision, run-scoped inputs, logs, typed results, and artifacts.
Audience: Product teams delivering reports or spreadsheets
The problem
Product teams delivering reports or spreadsheets need customer artifact generation to run repeatedly against source data, templates, and delivery requirements. In cross-industry operations, the pain is not one good answer; it is repeatability, auditability, exception handling, and evidence that survives handoff.
Implementation path
Compare the work required to operate customer artifact generation: sandbox lifecycle, provider credentials, input injection, logs, artifact delivery, retries, and result validation.
Tradeoffs and failure modes
Building gives total control; buying the runtime compresses the path to a customer-facing workflow. For customer artifact generation, the practical test is whether a second run can be debugged, retried, and consumed by a product without reading the raw agent transcript.
Decision table
Build internally if you need bespoke infrastructure primitives.
Use Argo if you need customer artifact generation as a product workflow: inputs, Claude Code, logs, result JSON, and artifacts.
Use both if a specialized sandbox must sit behind a stable run contract.
Run this on Argo