3DOGS NEXUS
Small businesses lack the multi-disciplinary advisory teams large competitors rely on. And a single AI — however powerful — reflects only one architecture, one training dataset, one optimization target. One perspective.
3Dogs Nexus orchestrates leading AI models as a coordinated pack through an independent backend engine — each contributing a distinct, independent perspective grounded in billions of training data points. Slack is the first working interface because it proves the engine can be used inside a real workflow. The product is not Slack; Slack talks to 3Dogs Nexus. The first working version starts with five engines, but the architecture is model-agnostic by design. The roadmap includes Perplexity, Grok, Llama, Cohere, Qwen, and other qualified engines as they emerge.
The goal is not a single chatbot. The goal is a true Wisdom of Crowds product — diverse AI systems debating, checking, challenging, and improving one another before the user acts.
Open Slack today. Type a prefix. The right mind answers within seconds — and every response is logged to shared memory so the whole pack stays in context. Tomorrow, the same engine can connect through web apps, Teams, Zoom, mobile, CRM, or custom interfaces:
- claude: Strategic analysis & deep reasoning
- chatgpt: Broad knowledge & creative ideation
- mistral: Risk, regulatory & structured critique
- gemini: Research, data & factual synthesis
- deepseek: Technical precision & STEM analysis
- rex: Orchestrates the full pack automatically
Rex is the coordinator role: meeting secretary, memory keeper, field commander, and handler of the AI pack. Rex reads the problem, assigns the right 2–3 specialists, chains their responses, facilitates standups, logs decisions to #decisions, and posts action items to #backlog automatically. Rex is not permanently tied to one model; any qualified AI can wear the Rex hat.
For high-stakes decisions, Rex runs any question through all five AIs independently — multiple passes each, no cross-visibility — then aggregates results using crowd statistics. The median self-corrects for outliers. Structural dissent from architecturally independent models is flagged automatically, not averaged away.
The next layer is not just more models. It is more independently coordinated reasoning systems. One Rex-led boardroom can run a question through a pack of AIs. A second Rex, powered by a different coordinator model, can run the same question through a separate boardroom. A higher-order Rex layer can then compare those boardrooms, preserve dissent, and aggregate the strongest answer. That creates a crowd of reasoning systems, not just a crowd of responses.
Slack is the interface. The database is the memory. Rex is the coordinator. The AI models are the pack.
A SerpAPI-powered Deal Hunter actively searches Google and Reddit for live market signals — prospects mentioning pain points, competitors, and buying intent. The pack doesn't just answer questions. It hunts.
The current pack proves the concept. The long-term product keeps adding independent minds: Perplexity for cited research, Grok for real-time social signal, Llama and Qwen for open-model diversity, Cohere for enterprise language workflows. More engines means more disagreement, more cross-checking, and a stronger crowd.
- Independent Nexus engine running behind Slack — Slack is the first interface/proofpoint
- Live Slack workspace — 9 dedicated channels
- 5-AI pack bot — all five models active and responding
- Rex orchestrator — auto-routes tasks to the right 2–3 AIs
- Layered Rex concept — multiple coordinator-led boardrooms with higher-order aggregation
- Rex meeting secretary — standups, decisions, action items
- Wisdom of Crowds batch mode — 30-pass crowd consensus engine
- Structural dissent detection — Monty Hall outlier flagging
- Deal Hunter — autonomous SerpAPI-powered prospect sourcing
- On-demand app builder — question in Slack → working web app in <2 min
- WorkTrek ROI Calculator — built live as a demo
- FCI & Equipment Condition Index tools — full financial analysis
- Professional brand — 3dogs.ai, custom email, workspace
- First use case validated — WorkTrek CMMS sales intelligence
Question: How many total AI chatbot conversations will be conducted globally in June 2026?
44 independent AI responses. Mean: 171B | Crowd median: 10.75B | Std dev: 739B
The median neutralized Gemini's 4.9 trillion outlier completely. Mean was destroyed. Median held firm. This is why crowds beat individuals.
27M+ US small businesses have no structured AI advisory capability. The global AI platform market exceeds $1.8T by 2030. No competitor offers a multi-model crowd intelligence boardroom — 3Dogs Nexus is a category of one.
- Individual AI identities in Slack (photo, personality, independent voice)
- Parallel batch execution — all AIs run simultaneously, results in <20 seconds
- Sprint & project management via #backlog
- Interface expansion beyond Slack — web app, mobile, Teams, Zoom, CRM, and custom clients
- Multi-tenant SaaS packaging for SMB resellers
- Automated deal pipeline with CRM export
- Crowd consensus feature — pack votes on decisions
- Rex compute-governor logic to control API spend
- Multi-Rex boardroom architecture — independent coordinators, separate reasoning paths, higher-order consensus
- Expansion: Perplexity, Grok, Llama, Cohere, Qwen
The operating cost is primarily API usage — the "gas" required to run multiple AI engines, SerpAPI searches, memory logging, and repeated consensus passes. Rex acts as the compute governor: routing simple questions to one or two engines, reserving full-pack consensus for higher-value decisions.
Seeking $75,000–$150,000 in seed funding or grant support to fund:
- 12 months operating runway
- Full-time development acceleration
- Go-to-market and first customer acquisition
- Legal, IP protection, and entity formation