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Tooling INT-052 Feb 2026

Agentic AI Workflow Engine

AI-driven task automation for content and operations

The problem

Repetitive operational tasks — drafting social captions, summarizing analytics, generating weekly reports, triaging inbound messages — consume hours every week. Each task involves multiple steps, context gathering, and formatting that doesn't justify a full-time hire but is too complex for simple scripts.

The approach

We built a lightweight agent framework that chains LLM calls with structured inputs and outputs. Each agent is configured for a specific task: one generates Instagram captions from content briefs, another summarizes weekly engagement data into a formatted report, another drafts email responses from inbound inquiries. Agents run on scheduled triggers or on-demand, with outputs reviewed before publishing. The framework is modular — new agents are defined through templates, not code rewrites.

Outcomes
  • Content drafting time reduced by 60% across brands
  • Weekly reporting automated — generated every Monday at 7am
  • Agent framework reusable across all Jinova products
  • Human review kept in the loop for quality control