Autonomous Cold Email System Built with OpenClaw Agents

An autonomous cold email outbound system built with OpenClaw agents where Nexus (an SEO-link agent) researches each prospect's website, runs real analysis, and uses those findings as the actual email content. The system creates daily batches, tracks prospects through a full pipeline in Notion, sends via Instantly, and triages replies without manual intervention.
How the System Works
1. Maven Creates Daily SDR Tasks
Maven's heartbeat (Step 1.8.5) fires on weekdays and checks:
- Has an SDR task already been created for today? (rate-limit key: last_nexus_sdr_outreach)
- Does Nexus already have an SDR batch in progress?
If both are clear, Maven creates a task in Notion: "SDR batch" assigned to Nexus with full instructions. Rate-limit key location: workspace-seo-pm/memory/heartbeat-state.md under SDR Outreach (SOP-OUT-002/003):
2. Nexus Picks Up the Task
On Nexus's next heartbeat, it queries Notion for assigned work. The SDR batch task tells Nexus to:
- Research new prospects if fewer than 10 are in "Researched" status
- Load and send a batch of up to 20 verified prospects
- Triage any replies in the Instantly unibox
- Update the Outbound Prospects DB
3. Per-Prospect Analysis Pipeline
Before any email is composed, Nexus runs this on each domain (~2 min, ~$0.05):
- DataForSEO backlink summary → domain rank, referring domains, spam score
- Fetch sitemap.xml → total URL count, content categories
- Fetch 2–3 content pages → count internal links per page, detect CMS (Ghost/WP/Webflow/HubSpot/custom)
- web_search "site:{domain}" → indexed page count vs sitemap total
- Compile 3 findings for the Insight Summary field:
- Internal linking density (e.g., "avg 2.3 links/page — benchmark is 8–12")
- Indexing gap or domain authority observation
- Platform-specific constraint or opportunity
4. Email Sequences
Three plain-text sequences, all under 80 words per step. Subject lines use real data from the analysis.
- Sequence A — "The Insight Drop" (all segments): Day 0: Two findings + link to free report, Day +5: One more insight they missed, Day +12: Direct ask with pricing
- Sequence B — "The Agency Play" (agencies only): Same structure, angled toward portfolio-wide impact and agency pricing
- Sequence C — "The Indexing Alert" (indexing gap sites): Leads with "Google sees X of your Y pages"
Instantly campaign naming: -sdr-{sequence}-{YYYY-MM}
5. Reply Triage
- Interested in free report → Send link, status → Interested
- Asks about pricing/plans → Handoff to Forge via SOP-OUT-004 template, status → Handed Off
- Enterprise/white-label inquiry → Handoff to Forge
- Not interested / unsubscribe → Instantly blocklist, status → Not Interested
- Bounce → Status → Bounced, remove from campaign
Infrastructure Created
Outbound Prospects Database (Notion)
ID: 32d139ea-e81f-813c-9606-e7108c1ab672
Pipeline: Researched → Sequenced → Opened → Replied → Interested → Trial Started → Converted
Key properties: Contact, Company, Domain, Email, Client (relation), Segment: Content-Rich Link-Poor / Platform-Locked / Indexing Gap / Agency Scale, Platform: Ghost / WordPress / Webflow / HubSpot / Custom, Fit Score: High / Medium / Low, Insight Summary, Sequence, Instantly Campaign, Program (relation to Projects DB), Reply Summary, Notes
Linkbot Insight Drop Project (Notion)
ID: 32d139ea-e81f-81d5-9204-e0c9a7906f47
Properties: Lane=SDR, Client=xxx, Status=Active, Owner=Maven, Approval Level=Autonomous
Instantly Sending Account: Email: [nexus@](mailto: [email protected])...
📖 Read the full source: r/openclaw
👀 See Also

AI Agents Running a Real E-commerce Business: Practical Insights from an Implementation
An AI agent system operates an actual e-commerce store, handling design, coding, marketing, and customer operations without human task execution. The implementation reveals that judgment calls like design rejection thresholds and incident prioritization present harder challenges than technical agent coordination.

Non-developer runs 18-agent OpenClaw setup on Mac mini for digital marketing
A digital marketing agency owner with no coding experience has been running an 18-agent OpenClaw system for six weeks on a Mac mini M4, costing about $100/month for Claude Max Pro plus $5/month electricity. The setup includes three agent households modeled after 'Bridgerton' characters handling content creation, SEO, and development tasks.

73-Year-Old Cardiac Patient Builds Health Tracking PWA with Claude AI
A 73-year-old with no coding experience and multiple cardiac conditions built ClinBridge, a Progressive Web App for health tracking, using Claude AI. The app tracks blood pressure, fluid intake, weight, heart rate, symptoms, meals, and activities, works completely offline, and is open source.

Using Claude Code with ha-mcp for Home Assistant automation
A developer reports using Claude Code with the ha-mcp tool to connect to Home Assistant, enabling rapid dashboard creation and solar charging system setup through detailed prompts.