Marketing Automation

Large Language Models. Model-agnostic by design.

Claude, ChatGPT and Gemini are all wired in. Every agent step asks for a quality tier and StandardOS picks the model that meets it. A model upgrade is a config change, not a rewrite.

Where are we losing share in AI answers this month?

Three queries where Gemini and ChatGPT cite competitors ahead of you. I drafted a play for each. Want me to run the Competitor Watch agent?

Agentic Harness. Ruby turns models into marketers.

RUBY is the orchestration layer: tool routing, control flow, memory, model selection and guardrails. She reads the brand and runs the agents.

Data & Integrations. What StandardOS connects to.

Ad platforms, analytics, social, search, news, email and commerce feed the same context RUBY reasons over. Fifty more apps connect through the catalog.

Context & Knowledge. Experience that compounds.

Playbooks, precedents, libraries and history are layered into every agent action. Marketers get the agency's collective experience every time.

Capabilities. The skills that make an agent a marketer.

Each capability is a real workflow: what to read, what to fetch, how to reason, what to write back. The products compose them and RUBY runs them.