Adclip

adclip

An open, standalone, model-routed marketing creative and learning engine.

adclip turns campaign intent into policy-checked copy, static creative, short-form video, and responsive email; preserves exact creative lineage; reads performance back from deployed creative; and structures that evidence into explicit experiments and next-test recommendations.

brief
  -> copy / image / video / email
  -> exact creative artifacts + provenance
  -> deployment lineage
  -> performance observations
  -> experiment evidence
  -> next test

MCP is one interface into adclip, not the architecture. The same application services are available to the standalone CLI and are intended to back a future local browser workbench.

Why adclip exists

Most AI marketing stacks split the workflow across a copy tool, image/video generators, an email platform, ad-platform dashboards, and creative analytics. adclip's goal is to keep the campaign model, creative lineage, and learning loop portable, while letting model providers and delivery platforms remain replaceable adapters.

Core principles:

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View the full README on GitHub