Prompt Optimizer in Field Configurations

Structured data capture, not just CRM fill. The core value has evolved beyond automating Salesforce data entry. Field configs let you capture and categorize conversation data so it can be called on and used in multiple ways downstream.

Pre-processed intelligence for automation. Each field has its own prompt, and all of that lives on Attention's API. So when you build a workflow, you can access that specific field directly without having to run a transcript through ChatGPT every time. The data is already extracted and structured, ready to plug into any automation.

Eliminates the Recorder + Workflows + ChatGPT workaround. Without field configs, teams using tools like Gong have to query Salesforce for opportunity data, pull transcripts from Gong, send everything to ChatGPT to structure it, then automate from there. That approach is time-intensive, expensive, hard to maintain, and runs into context window limits when you're processing multiple transcripts. Field configs solve all of that with one click.

Flexible use cases across teams. Different teams can have their own field configurations with different structures and data intake. Could be onboarding handoffs, upsell opportunities, forecasting based on deal vibes, auto-generated business cases—whatever output you need. Each team defines what matters to them.

Powers the super agent. Because the data is already structured and clean, the AI agent can access it faster and more reliably when answering questions like "what are the most common use cases coming up?"

And with the prompt optimizer, you don't need to be a prompt engineer. Drop in what you're looking for, and it refines your prompt so the output is clean, consistent, and ready for automation.

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