10 AI agents. Your entire company.
Not theoretical. Not "coming soon." This blueprint maps the exact ten agents Deep Loom deploys for B2B founders who want to run marketing, sales, ops, research, CS, and recruiting on a stack that costs less per month than a business lunch.
The architecture is in this blueprint. Deep Loom builds the implementation - so you start running on agents within 30 days, not 6 months.
The Architecture
An AI agent is a system that perceives its environment, makes decisions based on instructions, and takes actions - without a human in the loop for every step. The word "agent" is overloaded in 2025, but the core principle is simple: you define the workflow once, and the agent runs it repeatedly.
The ten-agent operating system in this blueprint is structured around five business functions: marketing, sales, operations, research, and customer/talent management. Each function gets one or two dedicated agents. All ten agents are connected through a central orchestration layer built in n8n.
The Orchestration Principle
Every agent passes structured data to the next via n8n webhooks. The Marketing Agent generates a content brief and drops it in a shared Notion database. The Sales Agent reads that database, finds the posts with the most engagement, and adds commenters to the outreach queue. The Ops Agent monitors queue size and pings the founder when a threshold is hit.
This is not ten isolated tools. It is one operating system with ten specialized modules.
The Marketing Agent
The Marketing Agent handles the complete content operation: ideation, drafting, scheduling, distribution, and performance tracking. It runs without a content manager.
- Trigger: Runs every Sunday at 8 PM. Pulls the previous week's top-performing posts via LinkedIn API, identifies the winning hook category, and generates 5 new post drafts for the coming week using that pattern.
- Drafting: Uses Claude Sonnet via API with a system prompt containing your voice, ICP, proof points, and content patterns. Each draft is stored in Notion with a status tag of "Draft - Review Needed."
- Review loop: You review in Notion, change the status to "Approved," and the agent automatically schedules and publishes on the assigned date via Buffer.
- Repurposing: Every published post is automatically converted into three formats - a Twitter thread, a newsletter paragraph, and a short-form video script - and added to the distribution queue.
Stack for the Marketing Agent: Claude API, n8n, Notion, Buffer, LinkedIn API. Total additional cost beyond baseline: ~$0 (Claude API calls for a solo founder run under $10/month at this volume).
The Sales Agent
The Sales Agent manages the top of the funnel: lead identification, enrichment, outreach sequencing, and follow-up. It operates on signal data from the Marketing Agent's content performance.
- Signal sourcing: Every time a post is published, the Sales Agent monitors comments and reactions via LinkedIn API. Any commenter or reactor who matches the ICP filter (title, company size, industry) is automatically added to the outreach queue in Clay.
- Enrichment: Clay enriches each prospect with company data, LinkedIn activity, recent posts, and intent signals. The enriched profile is scored and sorted by temperature (hot / warm / cold).
- Outreach automation: PhantomBuster sends the connection request with a personalized note generated by Claude using the enrichment data. The message references something specific from the prospect's recent activity.
- Follow-up sequence: Once connected, the four-message DM sequence (from the LinkedIn Outreach System playbook) runs automatically with 48-hour intervals between messages.
The Ops Agent
The Ops Agent is the company's nervous system - it monitors everything else and surfaces exceptions. It does not run workflows. It watches them and alerts the founder when something needs a human decision.
- Weekly digest: Every Monday at 7 AM, the Ops Agent sends a Slack message with: calls booked last week, pipeline value added, content performance summary, any failed automation runs, and the one metric that is below target.
- Exception alerts: If the Sales Agent has not added any new prospects in 48 hours, or if the Marketing Agent has not published a post by its scheduled time, the Ops Agent pings the founder immediately.
- Invoice + contract tracking: Monitors HoneyBook or Stripe for overdue invoices and sends a reminder DM sequence via email automatically after 3 days past due.
- Meeting prep: Every morning, the Ops Agent pulls today's Calendly bookings, enriches each prospect with their LinkedIn profile and recent activity, and sends the founder a 3-bullet prep note before each call.
"The Ops Agent is the one that founders notice first. Not because it does the most - but because suddenly nothing slips through the cracks."
The Research Agent
The Research Agent handles all competitive intelligence, industry monitoring, and prospect research. It runs asynchronously and deposits findings in Notion - so you have a live intelligence database that grows every week without manual effort.
- Competitor monitoring: Scrapes competitor LinkedIn pages and websites weekly. Flags any new case studies, pricing changes, or product announcements. Generates a one-paragraph "competitive move" summary in your Notion workspace.
- Prospect pre-research: For every inbound lead or booked call, the Research Agent automatically generates a company overview, recent news, LinkedIn activity summary, and likely pain points based on their ICP profile.
- Market signal tracking: Monitors Google News and Reddit for keywords related to your niche. Surfaces the three most relevant stories each week as potential content angles for the Marketing Agent.
CS + Recruiting Agents
The CS Agent
The CS (Customer Success) Agent handles onboarding, check-ins, and renewal tracking - so no client ever feels ignored between project milestones.
- Sends a structured onboarding sequence (5 emails over 14 days) to every new client automatically via Loops or Resend.
- Monitors Slack or email for client messages and flags any unanswered thread older than 4 hours.
- Tracks project milestone dates in Notion and sends the founder a prompt 7 days before each deadline.
- Runs a quarterly NPS survey via email and deposits responses in a Notion database with sentiment scoring.
The Recruiting Agent
The Recruiting Agent manages the hiring pipeline when you are ready to scale - without a recruiter on retainer.
- Monitors LinkedIn and Wellfound for candidates who match a saved ICP profile (title, skills, location).
- Sends a personalized outreach message to each qualified candidate using Claude-generated copy based on their profile.
- Manages the application intake form, auto-screens for deal-breakers, and routes qualified applicants to a Notion pipeline.
- Sends follow-up reminders and rejection messages automatically - so no candidate is left in limbo.
The Stack
Here is the complete tool stack that powers all ten agents. Every tool in this list has been production-tested across Deep Loom client accounts.
| Tool | Agent(s) It Powers | Cost/mo | Why This Tool |
|---|---|---|---|
| n8n (self-hosted) | All agents (orchestration) | $20 | Most powerful open-source automation tool - no per-task pricing |
| Claude API (Sonnet) | Marketing, Sales, Ops, Research | ~$15 | Best quality-to-cost ratio for business writing tasks |
| Notion | All agents (data store) | $16 | Central database for all agent outputs - easy to review and edit |
| PhantomBuster | Sales Agent | $56 | Most reliable LinkedIn automation - connection requests + DMs |
| Clay | Sales + Research Agents | $0 (free tier) | Best enrichment tool for LinkedIn + company data |
| Buffer | Marketing Agent | $15 | Scheduling + publishing across LinkedIn, Twitter, newsletter |
| Loops / Resend | CS Agent | $0–$20 | Email automation for client onboarding + NPS sequences |
| Calendly | Sales + Ops Agents | $12 | Call booking with Zoom integration + pre-call notifications |
Total monthly stack cost at 1–2 person team scale: approximately $134–$154. This compares to the cost of a single part-time contractor ($800–$2,000/mo) who would cover a fraction of what the agents handle.
What to Build First
Do not try to build all ten agents in week one. The fastest path to ROI is building the two agents that address your biggest current constraint, getting them working cleanly, and then layering the rest.
The Constraint-First Build Order
- If your constraint is pipeline: Build the Sales Agent first. LinkedIn outreach at volume is the fastest path to booked calls. Target: Sales Agent live within 7 days.
- If your constraint is content output: Build the Marketing Agent first. Getting to a consistent posting cadence is the fastest path to inbound warm leads. Target: Marketing Agent live within 7 days.
- If your constraint is operational chaos: Build the Ops Agent first. The Monday digest alone will save you 5 hours per week of "what's the status of X" overhead. Target: Ops Agent live within 3 days (simplest to build).
- Build 2 then connect: Once your first two agents are stable, add the n8n orchestration layer that connects them. This is where the compounding starts - agents working together are dramatically more powerful than agents working in isolation.
"I have ten agents running. My team is still just me. I'm doing more revenue than I did with three employees two years ago - and I'm working fewer hours."
You now have the complete blueprint: the orchestration architecture, detailed specs for all ten agents, the full stack with costs and justifications, and a constraint-first build order that gets you to ROI fast.
The $100/month operating system is not a hypothetical. It is running for Deep Loom clients right now. The only question is how long you want to keep doing manually what an agent can do continuously.
The architecture is clear. The build is where most founders stop. Deep Loom builds it for you.
Every agent in this blueprint is real and deployable. The challenge is the integration layer - wiring ten agents together so they pass data cleanly, trigger on the right events, and fail gracefully when an API goes down. That is not a weekend project. It is an engineering problem.
Deep Loom builds the full AI operating system for B2B founders who want to run lean, move fast, and never hire a coordinator role again. Daniel's team handles the architecture, the n8n workflows, the prompt engineering, and the QA - you get a working system in 30 days.
- All 10 agents scoped, built, and tested against your specific workflows
- n8n orchestration layer connecting every agent to your existing tools
- 30-day hypercare period - we fix anything that breaks in the first month