Replying well means knowing the relationship, but that context lives in Monday and Airtable, not in Outlook. So people answer blind or tab between three tools to remember who this customer even is.
sonnet1 weekOutlookMicrosoft GraphAirtableMonday
Claude
84ROI
70Scale
$3.6k95Saved
ROI for
README.md
Why this subagent
Replying well means knowing the relationship, but that context lives in Monday and Airtable, not in Outlook. So people answer blind or tab between three tools to remember who this customer even is.
This assistant looks up the sender across your Monday and Airtable records and drafts a reply that already knows their context: the open deal, the last order, the unresolved request. The draft waits in Outlook with the source records linked. You answer like you remember every account, without leaving your inbox to dig it up.
How it runs
Used at step 01 to kick off the pipeline.
Write
Used at step 01 to kick off the pipeline.
WebFetch
Used at step 01 to kick off the pipeline.
WebSearch
Used at step 01 to kick off the pipeline.
Look up that contact in Monday and Airtable for their history, deals, and open items.
pending
Draft a reply that uses the pulled context, like a pending order or last conversation.
pending
Save the draft in Outlook with the source records linked for the writer to review.
pending
Sample output
json
// Sample output
// (generated when the pipeline finishes)
For an incoming email, pull the sender's records from Monday and Airtable and draft a reply that references their current context.
Unlock the rest
The full agent definition, install snippet, and starter task are gated for community members.
Members get the full `.md` agent file, the npm / pnpm install one-liners, a starter prompt that we've tuned against real runs, and the open-source repo when this automation ships there. One email, magic link, done.