Today we're rolling out the deep match field agent, a new type of field agent that finds and links the most relevant records from your data.
What is the deep match field agent?
This field agent intelligently surfaces the most relevant records from across your tables and links them together — automatically. Instead of manually hunting for connections between records, deep match reads your data, understands the context, and makes the match for you.
Whether you're connecting related products, routing feedback to the right team, or pairing opportunities with the best fit, deep match field agent does the heavy lifting so you don't have to.
How teams are using the deep match field agent
Match sponsors to podcasts: Podcast networks are using deep match field agent to pair new sponsors with the right shows in their catalog — based on audience, content themes, and more.
Route customer feedback to product owners: Analyze free-text feedback forms and automatically link responses to the relevant product areas, so the right people see the right input without any manual triage.
Benchmark new work against historical data: Retailers are using deep match field agent to identify similar products from historical records to find cost benchmarks — all within the same table.
A few things to know
- Deep match field agent can currently search across plain text fields only.
- The agent can choose to read any fields in the target table. If you want it to ignore certain fields, you can specify that in the prompt.
- When linking to or from large tables, initial matches may take a few minutes to appear. Subsequent matches should come through more quickly.
We can't wait to see what you build with deep match field agent. Have a use case you're excited about? Drop it in the comments below! 👇
