Standard Operating Procedure for Autonomous Business Automation
Executive Overview
This SOP provides a complete workflow for building and operating a one-person AI-powered business using the Nebula agent platform. The process transforms manual business tasks into autonomous, scalable systems that require minimal ongoing human direction. This approach enables a single person to generate the output equivalent of a small team.
Key Principle: You provide direction and creativity; Nebula agents handle execution, research, scheduling, and optimization.
Phase 1: Foundation & Platform Setup
Step 1.1: Access the Nebula Platform
- Navigate to nebula.gg
- Create your account
- Familiarize yourself with the Slack-like interface where all agents operate
Step 1.2: Understand the Core Architecture
- Recognize that Nebula functions like Slack but with intelligent agents instead of humans
- Each “channel” represents a business workflow or process
- All agents have access to:
- Internet search and research capabilities
- Code execution (Python, JavaScript, etc.)
- Browser automation for documentation lookup
- File systems and storage
- Integration with cloud services (Google Suite, GitHub, Slack, Notion, Linear, PostHog, etc.)
Step 1.3: Define Your First Business Process
Choose one of these proven starting points:
- Content Blog (3+ posts per day)
- Email Newsletter (daily or weekly)
- Lead Generation Campaign (automated outreach)
- Product Analytics (daily insights and optimization)
- Social Media Content Calendar (scheduled posts)
Recommendation for beginners: Start with a content blog—it has the clearest feedback loop and lowest complexity.
Phase 2: Content Blog Setup (Primary Example)
Step 2.1: Create Your Blog Infrastructure
- Choose a platform: Ghost, WordPress, or equivalent CMS with API access
- Set up admin access: Ensure Nebula can authenticate and publish
- Define your niche: Select a specific, defensible topic area
- Example: “VR Games and Apps for Consumer Enthusiasts”
- Example: “AI Marketing Tools and Strategies”
- Example: “Emerging Blockchain Use Cases”
- Document selection criteria: Specify which sources, influencers, or data sources are authoritative in your niche
Step 2.2: Create Your Blog Agent Channel in Nebula
- Click “Create Channel” or equivalent
- Name it something clear:
#blog-content-machineor#[topic]-blog - Set the channel description with your core objective
- Document any access requirements (API keys, admin credentials) securely within Nebula
Step 2.3: Write Your Initial Directive
Create a comprehensive written directive that includes:
Content Focus:
- Topic area and scope
- Target audience demographics
- Target article length (word count)
- Posting frequency (e.g., “3 posts daily at 6 AM, 2 PM, and 10 PM”)
Research Guidelines:
- Primary information sources (e.g., “Top 10 VR influencers on Twitter,” “GitHub trending repos,” “Product Hunt,” “Press releases from [specific companies]”)
- What to prioritize (newest, most popular, most innovative)
- Geographic or market focus if applicable
- Depth of research required
Writing Style & Format:
- Tone (professional, conversational, technical, etc.)
- Typical structure (e.g., “intro, 3-5 key points, conclusion, CTA”)
- Word count range per section
- Keywords or topics to optimize for
- Any writing prohibitions (avoid clickbait, avoid unverified claims, etc.)
Visual Style:
- Image requirements (dimensions, style, tone)
- Where images should appear in posts
- Visual generation preferences (photorealistic, illustrated, abstract, etc.)
- Any brand guidelines or color preferences
Publishing Settings:
- CMS platform and connection details
- Draft vs. publish workflow
- Any SEO requirements or metadata
Step 2.4: Issue Your First Agent Command
Send this message to your new channel:
“[Insert your complete directive from Step 2.3]. Please create a blog post following these guidelines. Research the latest updates from [your specified sources]. Produce a post with [X] sections, [Y] images, and publish to [your CMS].”
What the agent will do:
- Conduct parallel searches across your specified sources
- Compile research findings
- Draft the post according to your style guidelines
- Generate images using AI image generation
- Write code to integrate images and content into your CMS
- Publish or create a draft (depending on your preference)
Step 2.5: Review and Iterate on Output Quality
- Read the first posts and assess quality against your expectations
- Document what worked: Note style choices, research depth, and formatting that met your standards
- Document what needs improvement: Identify specific gaps (e.g., “too surface-level,” “images don’t match tone,” “missing key sources”)
- Refine your directive: Update your written directive with specific feedback
- Example: “Instead of generic statements, include specific statistics and data points from your research”
- Example: “Include a ‘related tools’ comparison section”
- Example: “Generate images in the style of [specific aesthetic]”
Step 2.6: Add a Quality Control Mechanism
Create a secondary agent or process:
- Critic Agent: Add a step where every post is reviewed against quality metrics before publishing
- Issue this command: “Before publishing any post, run it through a quality check. Evaluate against these metrics: [specificity, accuracy, uniqueness, engagement potential]. Rate 1-10. If below 8, revise or regenerate.”
Phase 3: Automation & Scheduling
Step 3.1: Create Your First Recurring Schedule
- In your blog channel, issue this command: “I want you to create new blog posts every day at 6 AM, 2 PM, and 10 PM. Each post should follow the guidelines I’ve outlined. Based on our previous posts, generate the recipe and schedule for autonomous execution.”
Step 3.2: Understand What Nebula Creates Behind the Scenes
The agent will:
- Extract all relevant context from your directive and previous posts
- Create a “recipe” (reusable workflow template)
- Write a cron job or equivalent scheduling trigger
- Document execution steps in a visible schedule
Verify in the “Triggers” section:
- Your scheduled tasks appear
- Timing is correct (6 AM, 2 PM, 10 PM)
- Context is preserved from your original directive
Step 3.3: Monitor Initial Autonomous Runs
- First week: Check posts daily for quality and consistency
- Note any issues: Publishing errors, quality drops, missed executions
- Communicate fixes: Tell the agent what went wrong and how to improve
- Example: “The last three posts didn’t include enough recent data. Make sure you’re checking Twitter from the last 24 hours only.”
- Example: “The image style changed. Go back to [specific style] for consistency.”
Step 3.4: Optimize Over Time
After 2-3 weeks of consistent execution:
- Analyze performance: Check Google Search Console, Google Analytics, or your CMS stats for traffic, engagement
- Identify winning patterns: Which post types, topics, or formats get the most engagement?
- Issue optimization commands:
- “I notice posts about [topic] get 3x more traffic. Increase coverage of this topic to 2 of 3 daily posts.”
- “Analyze which keywords rank best in Search Console and optimize future posts for those keywords.”
- “Test two different headline styles. Track which gets better engagement and use the winner going forward.”
Phase 4: Scaling to Multiple Workflows
Step 4.1: Add a Lead Generation Channel
Once your content workflow is stable, create a second agent channel for lead generation:
- Channel name:
#lead-generation - Directive:
- Identify target companies or individuals in [your market]
- Research their contact information and decision-makers
- Craft personalized outreach emails based on [your value prop]
- Track responses and follow-ups
- Report daily on conversations and opportunities
- Sample command: “Research the top 50 B2B marketing software companies. Find decision-makers responsible for content strategy. Draft personalized emails positioning [your solution]. Send 10 emails per day and track responses.”
Step 4.2: Add a Product Analytics Channel
Create a third workflow for continuous optimization:
- Channel name:
#product-analytics-agent - Directive:
- Connect to your analytics platform (PostHog, Google Analytics, Mixpanel)
- Track key metrics: traffic sources, user retention, conversion rates
- Generate daily summaries and insights
- Identify trends and anomalies
- Recommend optimizations
- Setup: Connect your analytics platform credentials and specify which metrics matter most
Step 4.3: Add a Landing Page Optimization Channel
For testing and improvement:
- Channel name:
#landing-page-experiments - Directive:
- Test 3 landing page variants daily (different headlines, copy, CTA)
- Track performance metrics
- Analyze results and identify the winner
- Research competitor pages for inspiration
- Recommend next test variations based on performance
Phase 5: Advanced Multi-Agent Operations
Step 5.1: Create an Agent Creator
Create a meta-agent that builds specialized agents:
- “I need you to act as an agent creator. When I describe a new workflow, create a custom agent that can execute it, set up triggers, and manage the workflow independently.”
Step 5.2: Connect Multiple Services
Establish API connections between Nebula and:
- GitHub (for tracking code and implementation)
- Slack (for notifications and status updates)
- Notion (for documentation and project management)
- Linear (for issue tracking)
- Google Suite (for docs, sheets, slides)
- Your CMS (for publishing)
- Email service (for newsletters or outreach)
Step 5.3: Build Your Process Library
Document all recurring workflows:
- Create a master list of all active channels and their purposes
- Document the directive for each channel
- Track performance metrics for each workflow
- Schedule regular review meetings (weekly) to assess and iterate
Step 5.4: Establish Feedback Loops
For each autonomous process:
- Define success metrics (e.g., blog posts published, lead conversion rate, engagement rate)
- Schedule automated reporting (e.g., “Analytics agent, report on blog performance every Monday”)
- Create feedback commands (e.g., “Based on last week’s metrics, here’s what to improve…”)
- Let agents learn (e.g., “Here’s an example of excellent content from a competitor. Analyze and apply their approach”)
Phase 6: Monetization & Growth
Step 6.1: Choose Your Revenue Model
Options based on your workflow type:
For Content Blogs:
- Affiliate marketing (recommend products/services, earn commission)
- Display advertising (AdSense, Carbon Ads, etc.)
- Sponsored content
- Lead generation for services
For Lead Generation:
- Charge clients for qualified leads
- Service business (manage their outreach for them)
- Retainer consulting
For Newsletters:
- Sponsorships
- Premium subscriptions
- Affiliate promotions
- Product sales
Step 6.2: Create a Monetization Agent
Add a new channel focused on revenue optimization:
- “Monitor all published content. Identify monetization opportunities. Suggest and place affiliate links for [relevant products]. Track affiliate performance. Optimize placement and selection based on click-through rates.”
Step 6.3: Set Revenue Targets
- Week 1-4: Focus on consistency and volume (get systems stable)
- Week 4-8: Optimize for quality and engagement
- Week 8+: Layer in monetization and revenue
- 3+ months: Aim for [specific monthly revenue target]
Phase 7: Continuous Improvement & Scaling
Step 7.1: Weekly Review Process
Every Sunday, conduct this review:
- Review agent performance:
- Which agents are performing well?
- Which have issues or missed targets?
- What feedback do they need?
- Analyze metrics:
- Traffic/engagement for content workflows
- Conversion rates for lead gen
- Revenue generated
- Cost of agent operations (token usage)
- Update directives:
- Based on performance, refine instructions
- Add successful patterns to directives
- Document what’s working
- Plan new workflows:
- Identify the next high-impact process to automate
- Design the directive
- Brief the agent creator
Step 7.2: Monthly Strategy Review
Every month, assess:
- Revenue vs. targets: On track? Adjustments needed?
- Growth trajectory: Are metrics improving week over week?
- Operational efficiency: Is the system running smoothly?
- New opportunities: What workflows could add value or revenue?
Step 7.3: Scaling Playbook
As your business grows:
At $100/month revenue:
- You likely have 1-2 stable workflows
- Agents are producing consistent, quality output
- Next step: Layer in optimization agents and monetization
At $500/month revenue:
- You have 3-4 workflows running autonomously
- A quality control process is in place
- Begin testing advanced optimization (A/B testing, competitor analysis)
At $1,000+/month revenue:
- Multiple workflows generating revenue
- Agent feedback loops are sophisticated
- Consider: Offering services to others, licensing your workflows, or building a product around your system
Appendix A: Sample Directives
Content Blog Directive Template
You are my blog content machine. Your mission is to produce 3 high-quality blog posts daily about [TOPIC].
RESEARCH SOURCES:
- Follow these 10 influencers on Twitter: [list]
- Check these websites daily: [list]
- Search for: [keywords/topics]
CONTENT REQUIREMENTS:
- Length: 1,200-1,800 words
- Structure: Intro (150 words) + 4-5 main sections + conclusion + CTA
- Tone: [professional/conversational/technical]
- Include: [specific elements like stats, quotes, comparisons]
VISUAL REQUIREMENTS:
- 1 featured image per post (1200x630px)
- Style: [photorealistic/illustrated/abstract]
- Style reference: [link to example]
PUBLISHING:
- Platform: Ghost at [your-blog.com]
- Schedule: 6 AM, 2 PM, 10 PM daily
- Status: Publish immediately (no draft approval needed)
SUCCESS METRICS:
- Quality: Target 8/10 or higher on [specific rubric]
- Engagement: Aim for posts that address user questions and needs
- SEO: Optimize for [primary keyword]
FEEDBACK:
[Add any specific recent feedback or corrections]
Lead Generation Directive Template
You are my lead generation agent. Your mission is to identify and reach out to qualified prospects daily.
TARGET PROFILE:
- Company type: [SaaS / agencies / enterprises]
- Company size: [employees]
- Industry: [industries]
- Job title of decision-maker: [titles]
- Geographic focus: [regions]
RESEARCH APPROACH:
- Use LinkedIn, industry directories, and company websites
- Identify 15-20 prospects daily
- Find primary decision-maker and their contact info
OUTREACH:
- Personalize emails based on [specific details about company/person]
- Reference [specific company news / challenge / opportunity]
- Keep emails to [150-200 words]
- Include [specific CTA]
- Send 15-20 emails per day
FOLLOW-UP:
- Track responses
- Schedule follow-ups for non-respondents (3 days, 7 days, 14 days)
- Escalate to [your email/Slack] if prospect shows interest
REPORTING:
- Daily summary: [X prospects contacted, Y responses, Z scheduled calls]
- Weekly analysis of response patterns and objections
Appendix B: Common Troubleshooting
| Issue | Solution |
|---|---|
| Agents missing deadline | Verify cron timing, check if agent encountered error, clarify directive if ambiguous |
| Quality declining over time | Review feedback loops, strengthen directive with examples, add quality control agent |
| Agent can’t integrate with service | Provide API documentation, check credentials, simplify the task |
| Posts feel repetitive | Add “research broader sources,” provide competitor examples, request more variation |
| Revenue not matching projections | Check traffic sources, optimize monetization placement, test different revenue models |
| Costs increasing | Monitor token usage, set rate limits if needed, optimize agent tasks for efficiency |
Key Metrics to Track
- Content Volume: Posts per day (target: 3+)
- Traffic: Visitors per day (target: 50+ by week 2)
- Engagement: Average session duration, bounce rate
- Conversion: Clicks on affiliate links, email signups, lead captures
- Revenue: $ per day (target: $3+ by month 2)
- Operational Cost: $ in agent tokens per post (should decrease as you optimize)
- Quality Score: Average rating of output (target: 8/10+)
Final Checklist: Before Going Live
- [ ] Platform account created and tested
- [ ] First business process defined (blog, lead gen, etc.)
- [ ] Written directive completed and specific
- [ ] Connections to required services authenticated
- [ ] First agent command issued and tested
- [ ] Output reviewed and feedback provided
- [ ] Scheduling configured for autonomous operation
- [ ] Monitoring process established (daily first week, then weekly)
- [ ] Quality control mechanism added
- [ ] Monetization plan identified
- [ ] Weekly review calendar blocked
Remember
The core principle of this SOP is direction + automation = scale. You provide the creative direction, specific guidelines, and judgment. Nebula agents handle the execution, research, writing, scheduling, and optimization. This is not “set and forget”—successful one-person AI businesses require weekly review and continuous iteration. But the time investment is 10-20 hours per week to manage what would normally require a full team.
Start with one workflow. Master it. Then add the second. Build from there.
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