Delivery Spec
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Rhythms & SOPs
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Delivery Spec

What we install in 30 days.

Last synced 2026-04-28

Delivery Spec — What We Build

The 7-Day Install

Every DFY client gets a full AI department installed in 7 days. This is what happens.

Day 1-2: Data Ingestion + Infrastructure

  • Set up hardware (Mac Mini) or VPS
  • Ingest all client data: SOPs, client lists, brand assets, voice recordings, sales call transcripts
  • Deploy RawgrowthOS base system
  • Connect to client's tools: CRM, Slack/Discord, email, social accounts, analytics
  • Deliverable: Infrastructure live, data loading

Day 3-4: Agent Configuration

  • Configure 8+ agents trained on client's business
  • Customize agent CLAUDE.md files with client-specific context
  • Set up CEO agent on Telegram (client's primary interface)
  • Configure inter-agent routing for client's workflow
  • Deliverable: Agents responding, trained on client data

Day 5-6: Dashboard + Content Engine

  • Deploy War Room dashboard customized to client's KPIs
  • Connect all data sources to dashboard
  • Set up content production pipeline (competitor scraping, idea generation, script writing)
  • Calibrate content voice to founder's authentic tone
  • Deliverable: Dashboard live, content engine producing

Day 7: Go-Live + Handoff

  • Full system walkthrough with client
  • Test every integration end-to-end
  • Client sends first message to CEO agent
  • Document any customizations or edge cases
  • Deliverable: Client operating independently

Months 2-3: Support Phase (Included in $25K)

  • Daily check-ins on system health
  • Agent training refinement based on client feedback
  • Dashboard customization as client identifies new KPIs
  • Content voice calibration (takes 2-4 weeks to nail)
  • New integration requests handled
  • Monthly value report delivered

Month 2+: Retainer Phase ($5K/mo)

  • Ongoing system optimization
  • New agent builds as client needs evolve
  • Data compounding — system gets smarter every month
  • Quarterly business reviews (QBRs)
  • Priority support for issues
  • Infrastructure upgrades and maintenance

The 5 Core Deliverables

1. Company LLM (Business Brain)

  • Custom knowledge base trained on all client documents
  • RAG (Retrieval-Augmented Generation) for accurate answers
  • Accessible to all team members
  • Continuously updated as new data comes in
  • SOPs: ops/delivery/sops/sop-tech-stack-client-setup.md, RAG setup runbook

2. War Room Dashboard

  • Real-time metrics: pipeline, revenue, content performance, team activity
  • Content-to-revenue attribution
  • Client health scoring
  • Custom views per role (CEO, ops lead, content lead)
  • App: engineering/apps/dashboard/
  • SOPs: Dashboard deploy process

3. AI Agent Team (8+ Agents)

  • Content agent (writes in founder's voice)
  • Sales agent (DMs, proposals, follow-ups)
  • Research agent (competitor intel, market trends)
  • Client ops agent (if B2B — handles their client comms)
  • Finance agent (cost tracking, revenue reporting)
  • Engineering agent (system maintenance, integrations)
  • CEO agent (Telegram — founder's primary interface)
  • Custom agents per client needs
  • Config: _system/agents/ structure replicated per client

4. Content Production Engine

  • Competitor scraping (weekly cron — finds outlier content)
  • Idea generation from scraped data
  • Script writing in founder's voice
  • Multi-platform: Instagram Reels, Stories, YouTube, LinkedIn, X
  • Kanban pipeline: Idea -> Script -> Film -> Edit -> Post
  • Frameworks: content/docs/frameworks/

5. Flywheel Architecture

  • Data flows in from every connected tool
  • Agents process, analyze, and act on data
  • Outputs feed back as new data points
  • System compounds knowledge over time
  • At month 6: knows the business better than any employee
  • Framework: content/docs/frameworks/09-sie-framework.md

Scope Boundaries

In Scope

  • Everything listed above
  • Connecting to any tool the client already uses
  • Training agents on client's existing data
  • Custom dashboard views
  • Infrastructure setup and maintenance
  • Ongoing optimization during retainer

Out of Scope

  • Building custom SaaS products for the client
  • Replacing the client's existing tech stack (we layer on top)
  • Content filming/editing (we write scripts, they film)
  • Paid ad management (unless added to scope)
  • HR/legal/compliance advice
  • Anything requiring human judgment on sensitive client matters

Client Type Variations

| Client Type | Dashboard Focus | Agent Emphasis | Content Focus | |------------|----------------|----------------|---------------| | Agency ($3-10M) | Client pipeline, team utilization, content-to-revenue | Client ops, content, sales | Instagram, YouTube | | Consultant ($1-5M) | Personal brand metrics, booking pipeline | Sales, content, research | YouTube, LinkedIn, X | | Info Business ($3-15M) | Funnel metrics, LTV, content performance | Content, sales, research | YouTube, Instagram, email | | B2B Service ($5-50M) | Revenue pipeline, client health, operations | Client ops, sales, finance | LinkedIn, case studies |