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A chatbot writes an outline for a report. An agent creates the Q3 performance report using CRM and Slack data.

The difference is agency.

Most LLMs lack state and the ability to actually execute actions in your software.

They can tell you how to do the work, but they cannot do the work.

ChatGPT Work changes this by pairing GPT-5.6 for reasoning with Codex for execution.

The process follows a specific cycle:

The agent interprets your goal and plans the steps.

Codex calls the necessary tools to access files or navigate apps.

GPT-5.6 evaluates the retrieved data and refines the output.

This shifts the analyst's role from prompt engineering to goal setting.

Instead of spending hours on manual data migration between tools, you define the successful business outcome and review the execution plan.

I condensed the architecture and model tier mappings into a 12-page visual field guide — swipe through below.

Which multi-step manual process in your current workflow is the biggest candidate for an agentic transition?

#LearnWithVenkat999 #AIAutomation #WorkflowAutomation #BusinessAnalysis #LLMOps