Capture commitments from informal messages.
Use Super's text message AI assistant workflows to identify buyer asks, scheduling loops, and follow-up promises.
Build an AI follow-up queue from founder texts.
Founder texts hide the highest-value follow-up: customer promises, partner asks, investor replies, and buyer objections. A personal AI agent should turn those threads into ranked drafts and approval-ready next actions.
The queue starts with intent, not timestamps.
Do not simply sort texts by recency. Sort by business consequence: who is waiting, what was promised, how stale the reply is, and whether the agent has enough context to prepare the work.
Attach browser context.
For account research or source gathering, route repeatable prep through computer-use cache.
Approval is the guardrail.
Draft fast, but require approval before sends.
Rank by consequence.
Prioritize revenue, relationship risk, reply age, and blocked decisions.
Prepare supporting assets.
When follow-up needs proof, create pages or briefs through AI agent website building.
Review misses weekly.
Mark noisy items, missed promises, weak drafts, and actions that should have been escalated.
Four steps make the queue trustworthy.
Extract
Find asks, promises, objections, and deadlines.
Rank
Score by consequence and urgency.
Draft
Write a reply with source context attached.
Approve
Let the founder edit before sending.
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Checklist for the first queue.
Use this checklist before trusting the agent with daily founder follow-up.
Define the text sources.
Choose iMessage, SMS, email summaries, and meeting notes that should feed the queue.
Set approval rules.
Require approval for price, timing, legal claims, refunds, and customer-facing promises.
Demand evidence.
Every draft should cite the message or note that triggered it.
Measure resolved loops.
Track stale replies avoided, drafts approved, and follow-up quality.
Follow-up queue questions.
Can the queue send automatically?
Start with approval-required sends. Founder tone and commitments matter.
What belongs in the queue?
Anything with a person, promise, deadline, or blocked decision.
Where does Super fit?
Super connects text-native intake, browser context, execution memory, and approval controls.
Turn founder texts into an execution surface.
Super helps convert scattered text threads into ranked, drafted, approval-ready follow-up.