Your agents aren't three separate tools. They share the same brain — and they all reach into every connected platform.
| What Happens | Behind the Scenes |
|---|---|
| Rose closes a new client deal in GHL | Miles automatically knows to start generating fulfillment deliverables |
| Miles flags a deliverable is late | Dot alerts Zack with context and suggested action |
| You ask "How's the business doing?" | Dot pulls data from GHL + Google Ads + GA4 + Meta + LinkedIn → complete picture in seconds |
| Rose generates social posts for 5 clients | Miles verifies brand guidelines from shared knowledge base before publishing |
| New lead comes through Google Ads | Rose scores it → GHL triggers nurture → Miles tracks it on the pipeline dashboard |
Every agent can pull functions and data from every connected platform. Ask any agent anything — they reach across the entire tech stack and give you an answer with visuals, charts, and dashboards built on the fly.
This isn't a subscription. You're buying infrastructure.
Subscriptions and accounts you'll maintain:
Estimated total: $250–850/month for everything.
For context: One full-time employee costs $3,500–6,000/month minimum.
You're getting three AI employees that work 24/7 for roughly the cost of half a person.
Real platforms we've shipped — the same architecture powering your Solvr build
The Challenge: A local business operator needed to manage GHL contacts, pull property leads from Reonomy, generate n8n automations, run Google Ads analytics, manage Meta Ads campaigns, and monitor Twilio communications — all from one place, without switching between 6+ platforms.
What We Built: A unified Work OS with dedicated channels for each business function. The AI agent connects to every tool simultaneously — users type natural language commands like "show me my pipeline" and get a live CRM visualization, or "build me a lead capture workflow" and get a generated n8n automation. Every MCP app (GHL dashboard, Google Ads analytics, Meta Ads manager, Reonomy property search) runs as an embeddable micro app inside the platform.
GHL CRM pipeline visualization via chat — live data, no manual exports
n8n workflow generation — "build me a lead capture workflow" → done
Relevance to Solvr: This is exactly the Work OS architecture powering your platform. The same multi-tool integration, embeddable dashboards, and chat-driven data access — customized for your hospice consulting tech stack.
The Challenge: Build 30+ MCP integration servers (GoHighLevel, Meta Ads, Google Ads, Twilio, Brevo, CloseBot, FreshDesk, HelpScout, and 22 more) — each with API research, tool development, UI apps, testing, documentation, and live website deployment. Doing them sequentially would take years.
What We Built: An 18-stage production pipeline with AI-driven automation at every step. The Factory auto-advances servers through stages: API research → scaffolding → core tools → UI apps → integration testing → website deployment → publishing. A kanban dashboard tracks all 30+ servers simultaneously, with quality gates at each stage and human approval checkpoints for key decisions.
Production pipeline dashboard — 30+ servers tracked across 18 stages with automated advancement
Relevance to Solvr: Your Factory uses the same pipeline architecture — but for client deliverables instead of software. Batch production, automated stages, quality gates, and human approval at key checkpoints. Proven at scale.
The Challenge: Manage daily content coaching for two team members across Discord and iMessage simultaneously — with structured daily schedules (9 AM briefs, 1 PM check-ins, evening wraps), personalized messaging per person, proactive follow-ups, and persistent memory of each person's preferences, progress, and commitments.
What We Built: An AI agent (Buba) that operates across multiple channels with full context continuity. The agent runs cron-scheduled check-ins, sends personalized coaching messages on Discord and iMessage, tracks each person's progress in persistent memory, escalates when deadlines are missed, and adapts its communication style per individual. The agent shares a single memory layer so context from one channel carries to another — if someone responds on iMessage, the Discord coaching adjusts accordingly.
Multi-channel agent: coordinated coaching across Discord + iMessage with cron scheduling
One AI, every channel — Discord, iMessage, Telegram, SMS, WhatsApp, Slack, Web
Relevance to Solvr: Dot, Rose, and Miles use this same multi-channel architecture. Proactive scheduling, cross-channel memory, personalized communication — your agents don't just respond, they initiate. Exactly what you need for coordinating across your team and clients.
These aren't concepts. They're production systems running today.
The same architecture, the same team, the same tools — customized for Solvr's hospice consulting workflow.