Autonomous Sales Agent Playbook
ποΈ Description
A playbook by RomΓ n from gojiberry.ai β how to replace a traditional marketing stack (20/mo. Itβs not about a chatbot β itβs an always-on operator that handles speed-to-lead, context research, and follow-up without a human in the loop.
π Key Insight: Speed-to-Lead
- Average lead response time: 47 hours (Harvard Business Review, 2,241 firms)
- A response within 5 minutes = 21x higher chance of qualification vs. 30 min
- The agent answers in < 2 minutes, follow-up rate ~100%
π§© Architecture β 4 components
| Component | Role | Tool |
|---|---|---|
| Eyes | Detection of high-intent signals | Gojiberry.ai |
| Body | Workflow execution, data movement | OpenClaw (self-hosted) |
| Brain | Context analysis, writing messages | Claude (Anthropic API) |
| Memory | Lightweight CRM | Markdown files (1 file = 1 lead) |
π¨ Context Engine β 4 phases
- Signal Detection β continuous listening for intent signals (comments, DMs, inbound)
- Research Loop β before the agent writes a word, it gathers context: profile, company, recent news, pain points β JSON dossier
- Intent Triage β lead prioritization:
- P0: Buyer / call request β immediate reply
- P1: Product inquiry / service interest β qualify + value prop
- P2: Networking β draft a gentle decline
- P3: Spam β ignore
- Copywriting Engine β personalized messages grounded in the collected context
π File-Based CRM
- One Markdown file per lead
- Folders as stages (state machine):
new/βqualified/βcontacted/βwon//lost/ - Zero vendor lock-in, readable forever
π§© 5 Workflow Arsenal
- Outbound campaign builder β building outbound campaigns
- Inbound content monitor β monitoring inbound content
- Trial-to-paid nudger β trial β paid conversion
- Win-back agent β recovering lost customers
- Market intel briefing β market briefing
βοΈ Cost Comparison
| Old way (Human + SaaS) | Agent stack | |
|---|---|---|
| Response time | ~47h | < 2 min |
| Follow-up rate | ~30% | ~100% |
| Monthly cost | ~$1,447/mo | ~$20/mo |
| Maintenance | High | Low |
Stack: GoHighLevel (74) + Calendly (60) + VA (1,447/mo** Agent: OpenClaw (29 lifetime) + Resend (15) + VPS (~20/mo**
π Links
- Agentic Coding β related concept of AI agents in development
- Make, n8n β alternative automation platforms mentioned in comparison
π Further reading
- gojiberry.ai β autonomous sales agent platform
- OpenClaw β open-source workflow execution engine
- Source: Notion playbook by RomΓ n (gojiberry.ai co-founder)
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