⚡ Digital Labour — 24 AI Agents for Business Automation

> Your entire back-office, automated. Run any of 24 specialized AI agents through plain English. Sales outreach, lead generation, content repurposing, SEO, ad copy, bookkeeping, proposals, market research, tech docs — all with built-in QA verification.

Quick Start

Set your API URL (or use the default production endpoint):

export DIGITAL_LABOUR_API_URL="https://bitrage-labour-api-production.up.railway.app"

Test the connection:

python3 {baseDir}/scripts/dl-api.py health

Run an agent:

python3 {baseDir}/scripts/dl-api.py run support_ticket '{"ticket_text": "My order has not arrived after 2 weeks"}'

Available Agents (24 Total)

Revenue & Sales (5 agents)

| Agent | Command | What it does |

|-------|---------|-------------|

| sales_outreach | run sales_outreach '{"company":"Stripe","role":"Head of Sales"}' | Company research + 3-email outreach sequence |

| lead_gen | run lead_gen '{"industry":"fintech","region":"North America"}' | Generate qualified lead lists for any industry |

| email_marketing | run email_marketing '{"product":"SaaS CRM","audience":"small business owners"}' | Full email campaign with subject lines + body copy |

| proposal_writer | run proposal_writer '{"project":"Website redesign","client_name":"Acme Corp"}' | Professional project proposals with pricing |

| ad_copy | run ad_copy '{"product":"AI writing tool","platform":"google"}' | Platform-optimized ad copy (Google/Facebook/Instagram) |

Content & Marketing (4 agents)

| Agent | Command | What it does |

|-------|---------|-------------|

| content_repurpose | run content_repurpose '{"content":""}' | Repurpose content into tweets, LinkedIn, newsletters |

| seo_content | run seo_content '{"keyword":"AI automation","content_type":"blog"}' | SEO-optimized content (blog/landing/pillar pages) |

| social_media | run social_media '{"topic":"AI trends","platform":"linkedin","cta_goal":"drive signups"}' | Platform-native social posts with CTAs |

| press_release | run press_release '{"announcement":"Product launch","company":"Bitrage"}' | PR-ready press releases |

Operations & Data (4 agents)

| Agent | Command | What it does |

|-------|---------|-------------|

| data_entry | run data_entry '{"source_data":"","output_format":"CSV"}' | Structure and clean raw data |

| web_scraper | run web_scraper '{"source_url":"https://example.com","extraction_target":"pricing"}' | Extract structured data from web pages |

| crm_ops | run crm_ops '{"contact_data":"","action":"segment"}' | CRM updates, segmentation, and reporting |

| bookkeeping | run bookkeeping '{"transactions":"","period":"monthly"}' | Transaction categorization and financial reports |

Documents & Research (4 agents)

| Agent | Command | What it does |

|-------|---------|-------------|

| doc_extract | run doc_extract '{"document_text":"","doc_type":"invoice"}' | Extract structured data from invoices, contracts, resumes |

| market_research | run market_research '{"topic":"electric vehicles","depth":"detailed"}' | Market analysis at overview/detailed/comprehensive depth |

| business_plan | run business_plan '{"business_idea":"AI tutoring app","market":"K-12 education"}' | Full business plans with financial projections |

| tech_docs | run tech_docs '{"code_or_api":"","doc_type":"api"}' | API docs, READMEs, and tutorials |

Professional Services (3 agents)

| Agent | Command | What it does |

|-------|---------|-------------|

| support_ticket | run support_ticket '{"ticket_text":""}' | Categorize, prioritize, draft reply for support tickets |

| product_desc | run product_desc '{"product_specs":"","tone":"luxury"}' | Product descriptions in any tone |

| resume_writer | run resume_writer '{"career_data":"","target_industry":"tech"}' | ATS-optimized resumes for any industry |

Management Layer (4 agents)

| Agent | Command | What it does |

|-------|---------|-------------|

| context_manager | Internal orchestration | Maintains context across multi-agent pipelines |

| qa_manager | Internal orchestration | Quality assurance on every agent output |

| production_manager | Internal orchestration | Workflow scheduling and resource allocation |

| automation_manager | Internal orchestration | Autonomous task routing and retry logic |

Helper Script

scripts/dl-api.py — Python script (stdlib only) for all API operations.

Commands:

| Command | Description |

|---------|-------------|

| health | Check API health status |

| agents | List all available agents with input schemas |

| run | Run a specific agent with JSON inputs |

| batch | Run multiple agents from a JSON batch file |

Examples:

# Check health
python3 {baseDir}/scripts/dl-api.py health

# List all agents
python3 {baseDir}/scripts/dl-api.py agents

# Generate sales outreach
python3 {baseDir}/scripts/dl-api.py run sales_outreach '{"company":"Tesla","role":"VP Engineering"}'

# Write a business plan
python3 {baseDir}/scripts/dl-api.py run business_plan '{"business_idea":"AI-powered pet care app","market":"pet owners 25-45"}'

# Generate SEO content
python3 {baseDir}/scripts/dl-api.py run seo_content '{"keyword":"remote work tools 2026","content_type":"pillar"}'

# Run a batch of tasks
python3 {baseDir}/scripts/dl-api.py batch {baseDir}/examples/batch.json

Batch Processing

Create a JSON file with multiple tasks:

[
  {"agent": "sales_outreach", "inputs": {"company": "Stripe", "role": "CTO"}},
  {"agent": "ad_copy", "inputs": {"product": "AI CRM", "platform": "facebook"}},
  {"agent": "seo_content", "inputs": {"keyword": "business automation", "content_type": "blog"}}
]

Run them all:

python3 {baseDir}/scripts/dl-api.py batch tasks.json

Multi-Agent Workflows

Chain agents together for complex operations:

Lead-to-Close Pipeline:

1. lead_gen → find prospects in target industry
2. market_research → understand their pain points
3. sales_outreach → personalized outreach sequence
4. proposal_writer → ready proposal when they respond

Content Engine:

1. market_research → trending topics in your niche
2. seo_content → long-form SEO blog post
3. content_repurpose → tweets, LinkedIn, newsletter from that post
4. social_media → platform-native posts with CTAs
5. ad_copy → paid promotion copy

Client Onboarding:

1. doc_extract → pull data from client documents
2. data_entry → structure into your system format
3. bookkeeping → set up financial tracking
4. crm_ops → create CRM records

API Details

• Base URL: https://bitrage-labour-api-production.up.railway.app
• Universal Endpoint: POST /v1/run
• Agent List: GET /agents
• Health Check: GET /health
• Docs: GET /docs
• LLM Providers: OpenAI (GPT-4o), Anthropic (Claude), Google (Gemini), xAI (Grok)
• QA: Every output passes through QA verification before returning

Environment Variables

| Variable | Required | Default | Description |

|----------|----------|---------|-------------|

| DIGITAL_LABOUR_API_URL | Yes | https://bitrage-labour-api-production.up.railway.app | API base URL |

| DIGITAL_LABOUR_API_KEY | No | (none) | Optional API key for authenticated access |

Important Notes

• Each agent call takes 3-15 seconds (real LLM inference, not cached)
• All outputs include QA verification status
• The provider field is optional in all agent inputs — omit to use the server default
• Management agents (context_manager, qa_manager, etc.) are internal and run automatically during pipelines
• Batch mode processes tasks sequentially to respect rate limits
• All agent outputs are structured JSON with consistent schema