Built for the trades. Owned by you.

The AI that actually
knows your business

Multi-model AI chat with 22-category intent routing, a knowledge graph that builds itself, and training data that gets you closer to a model that's yours -- not rented.

Live at No Fear Electric
All data on your server
22-category intent classifier
3-tier model fallback
Training pipeline included
Live session -- BeardPowered AI
ai.beard.energy -- Danny R. · Foreman
DR
We're doing a 200A service upgrade on a 1960s house in Murray. Panel is a Federal Pacific. Owner wants to know if we have to replace it or just upgrade the service.
BP
▸ Electrical Agent · NEC Code · Safety
You need to replace it. Federal Pacific Stab-Lok panels are flagged by CPSC for failure to trip under fault conditions -- they've been linked to house fires since the 1980s. Utah code follows NEC 2020, which requires panels to meet UL 67. Stab-Lok breakers do not comply. No reputable inspector will pass a service upgrade that leaves the FPE panel in service.

For the 200A upgrade, you're looking at: new 200A meter base, new main panel (Square D QO or Eaton CH series), new ground electrode system to current code, and all existing circuits re-landed. Budget the owner $3,800-$5,400 depending on whether the mast needs to come down.

Want me to pull the NEC 110.3 reference and draft the customer explanation card?
⏱ 1.2s
Tokens 312 out
↓ $0.11 vs GPT-4o
DR
Yes, draft the card. Keep it plain English, no jargon. Owner is 70s, not technical.
BP
▸ Business Agent · Customer Communication
Your Electrical Safety Summary

Your home's electrical panel is a Federal Pacific brand, which was recalled by the US Consumer Product Safety Commission. These panels have a documented history of not shutting off properly during an electrical fault -- which is the main thing a panel is supposed to do to prevent a fire.

We recommend replacing it as part of your service upgrade. The new panel meets all current safety codes and carries a full manufacturer warranty. This is the same panel used in new construction today.

Any questions, ask Danny before we leave today.
⏱ 0.8s
Tokens 148 out
↓ $0.18 total session

Not a chatbot.
A trades intelligence layer.

Every response is routed, contextualized, and logged -- then used to make the next one better.

⚡

22-Category Intent Classifier

Every question is routed before a single token is generated -- electrical code, energy systems, carbon capture, business ops, safety. The right agent answers.

🧠

Knowledge Graph That Builds Itself

After every conversation, the system extracts jobs, clients, people, and topics -- then writes them as nodes in a live, clickable graph. Nightly sweep catches anything missed.

📡

Hybrid RAG -- Vector + Keyword

60% vector cosine similarity, 40% FTS5 keyword. OSHA data scraped and chunked. NEC PDF pipeline ready. Your conversations become retrievable forever.

🔁

3-Tier Model Fallback

Groq → OpenRouter → Gemini Flash. BeardPowered AI never goes down. Named personas (Burn, Hybrid, Sativa) -- no raw model IDs ever shown to users.

📊

Cost Savings Panel

Every response shows real-time cost comparison vs GPT-4o, Claude Sonnet, and Gemini 1.5 Pro. Running session total ticks up as you work.

🎓

Training Data Pipeline

Thumbs-up auto-logs as positive. Thumbs-down triggers claude-p review → pending_corrections table → your approval before anything enters the knowledge base. You are the arbiter.

💬

Second Opinion Dropdown

Any response can request a second agent's take -- inserted below the original with Keep Both / Keep This / Discard. Forces the system to show its reasoning.

🗂️

Obsidian Vault Sync

After every extraction, Jobs / Clients / People / Topics are written as structured Markdown -- git-synced so your field memory is accessible from any device, forever.

📱

Telegram Field Bot

@beardpowered_bot -- quick queries from the field without opening a browser. Restricted by user ID allowlist. Same intelligence, zero friction.

Every person on your crew
gets a different brain.

System prompts, context, and agent routing shift by role. What the foreman sees isn't what accounting sees.

Admin
Foreman
Field Tech
Accounting
Estimator

Per-user memory tracks last topic, active jobs, and pending tasks. The launchpad on login is personalized -- not the same screen for everyone.

Named models.
No API IDs. No leaking.

Your crew sees Burn, Hybrid, and Sativa -- never llama-3.3-70b-versatile. Brand names only, with automatic fallback if any tier goes down.

Spark
llama3.2 · Ollama
Background extraction only. Runs local, no API cost.
Burn
gemma4 · Ollama
Primary local chat. On-premises, zero cloud dependency.
Sativa
GPT-OSS-20B · Groq
Fastest cloud tier. Sub-second first token.
Hybrid
Qwen3 27B · Groq
Primary workhorse. Multimodal MoE, handles complex code and code questions.

You're paying for six tools
that don't talk to each other.

BeardPowered AI is one system. The context carries. The history builds. The cost drops.

What you use now Monthly cost What you lose BeardPowered AI
ChatGPT Plus $20/user ✗No job history. No crew context. ✓Knows your jobs
Microsoft Copilot $30/user ✗Generic. No trades domain. ✓22-category routing
Gemini for Business $24/user ✗Your data trains their model. ✓Your data trains yours
NEC code subscription $15+/mo ✗Search. No AI. No context. ✓RAG over NEC + OSHA
Random AI tab-hopping $0-$50 ✗No memory. Starts over every time. ✓Persistent knowledge graph

Every response shows
what you didn't pay.

The savings panel is live on every message. Running total in the sidebar. It adds up fast.

vs GPT-4o per 1K tokens
~87%
cheaper on Groq tier
vs Claude Sonnet per session
$0.04-0.18
tracked per message
Local model (Burn) cost
$0.00
always. runs on your hardware.
Training data value
Yours
every thumbs-up builds your model

Your data doesn't leave
your server. Ever.

Sovereignty Invariants

K1
Human Primacy. The system proposes. You approve. Then it executes. Nothing auto-seals. Nothing auto-executes without a human gate.
K2
Default-deny capability. Roles start with nothing and are granted permissions explicitly.
K3
Hash-chained audit ledger. Every significant action is receipted. Tamper-evident by design.
K4
Constitutional extension validation. No capability creep without validated governance review.

Training Pipeline

Every response
→
logTraining()
→
R2 / JSONL
Thumbs down
→
claude-p review
→
Your approval
→
RAG inject

The end goal: a fine-tuned Qwen3 8B running locally on a Mac Mini M4 Pro 64GB. Trained on real NEC questions, field procedures, and job history -- verified by a licensed electrician. You own the model. You own the weights.

Built for the field.
In use at No Fear Electric.

DR
"We used to call the office for every code question. Now we pull it up on the phone before the customer even asks twice. It knows what job we're on, who the customer is, what we quoted. That's the difference."
Danny R. -- Lead Electrician, No Fear Electric · Roy, Utah

No Fear Electric is the pilot client of Beard Energy LLC -- Roy, Utah. BeardPowered AI is live in active field use. Not in a demo environment, not in a sales deck.

Get started

Your crew is ready.
The knowledge is waiting.

Log in with your BeardPowered account and start building the institutional memory your business deserves.

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NO SAAS. NO LOCK-IN. NO DATA LEAVING YOUR SERVER.