Run first Agent Action Audit Snapshot outreach batch

[safal207]

Goal

Run the first focused outreach batch for the new Agent Action Audit Snapshot offer ladder.

Offer ladder:

One-page brief
-> $197 Snapshot
-> $497 Snapshot Plus
-> $1,500-$3,000 Full Audit Pilot
-> Design Partner Sprint

Reference playbook:

• docs/AGENT_ACTION_AUDIT_SNAPSHOT_OUTREACH.md

Core message

Your AI agent may produce the right output.
But can you prove it was allowed to do what it did?

Scope

Send 10-20 targeted messages to people or teams working with:

• AI coding agents,
• DevTools,
• CI/CD autofix,
• incident-response agents,
• internal tool-calling agents,
• AI governance / safety review,
• platform engineering for agentic workflows.

Daily execution target

Send 10 targeted messages.
Track every response.
Ask for one non-sensitive workflow.

Tracking table

#	Name	Role / team	Channel	Message type	Sent?	Response	Next step
1			X / LinkedIn / email	DM / cold email
2			X / LinkedIn / email	DM / cold email
3			X / LinkedIn / email	DM / cold email
4			X / LinkedIn / email	DM / cold email
5			X / LinkedIn / email	DM / cold email
6			X / LinkedIn / email	DM / cold email
7			X / LinkedIn / email	DM / cold email
8			X / LinkedIn / email	DM / cold email
9			X / LinkedIn / email	DM / cold email
10			X / LinkedIn / email	DM / cold email

Acceptance criteria

• At least 10 targeted messages sent.
• Each message uses a specific angle: coding agents, CI/CD, platform, governance, or safety.
• Each recipient is tracked in the table.
• At least one follow-up is scheduled or prepared for non-responders.
• Any positive response is converted into a workflow-intake request.
• No sensitive customer data is requested.

First response template

If someone says "interesting":

Great - the easiest next step is to pick one bounded workflow.

For example:
- coding agent opens a PR
- CI/autofix agent changes config
- incident agent proposes an action
- internal agent calls a tool

I do not need sensitive data. A redacted workflow description or trace/log sample is enough.

The Snapshot output is a short evidence-risk review with ALLOW / BLOCK / ESCALATE and top controls before scaling.

Notes

Do not optimize the funnel before sending messages.

The first proof is one real workflow.