Frequently Asked Questions

A digital brain is an AI system that combines persistent memory, reasoning, and real-world execution into one architecture. Unlike a chatbot that resets every session, a digital brain remembers context, learns from past interactions, and takes action.

TLC AI Lab builds custom AI systems — digital brains — for businesses that need more than a chatbot. We design AI agents, bot integrations, and full-stack AI systems. We also provide fractional CTO services. Based in Houston, TX. 30+ years infrastructure experience.

Four tiers. A chatbot follows a script — no memory, no execution, it’s a form with personality. An AI agent reasons, plans, and executes against your real systems. A Persacom (AI Companion) is personal — it has memory about you, manages your calendar, email, and notes, and its personality is customized to you. Think Google Gemini for Android, but real. A JARVIS is the full stack — a cognitive operating system that contains agents and companions, manages infrastructure, monitors itself, and improves itself with ethics baked in from day zero. Most companies sell chatbots and call them agents. We build the whole spectrum.

A Persacom is our term for a personal AI companion that goes beyond chat. It learns about you, remembers your preferences, manages your calendar and email, takes notes, and executes personal tasks — all with a personality customized to who you are. It’s not just answering questions — it’s knowing you. Examples from our lab: Vic, Sophia, Alice, Hubert.

Because what we build isn’t artificial. The word ‘artificial’ means fake, imitation, a substitute for the real thing. That’s fine for describing a prediction engine that guesses the next word. But when you give a system persistent memory, ethical reasoning, real-world execution, and the ability to learn from its own experience — that’s not artificial anything. That’s intelligence, architected with intent. We use the same LLMs everyone else does, but we architect them into something with structure, continuity, and purpose. The ‘A’ in our AI stands for Architected — because we don’t simulate intelligence, we build it.

Rav (Ravix DeWolf) is the founder of TLC AI Lab with 30+ years of infrastructure, systems architecture, and security experience. Houston, TX based.

Stack-agnostic — open-source LLMs, cloud APIs, vector databases, MCP protocol, Python backends. You own the stack.

All of them. Claude, Gemini, GPT (more rarely), local DeepSeek, Qwen, Gemma, LLaMA, Kimi, Mistral — plus dozens of specialized models for images, code, embeddings, and vision. We run models locally on our own hardware via Ollama and use cloud APIs when it makes sense. We’re not married to any vendor. The right model depends on the task, the latency requirement, and the privacy constraints. That’s the whole point of being model-agnostic — you get the best tool for each job, not whatever one company is selling.

A human reviews, approves, or corrects AI decisions at critical points. AI handles volume; humans stay in the chain for anything that could cause damage.

Yes. We build agents that connect to Notion, CRMs, databases, email, APIs. The goal is an agent inside your actual workflow.

Honestly? Start with what’s available. Get a Claude Desktop or Antigravity account and start building tools for yourself. Get a Notion workspace. Say ‘remember this’ and document it somewhere — congratulations, you have persistent memory. It’s that simple to start. You need us when you’re ready to connect multiple systems, orchestrate agents across your business, handle security and compliance at scale, or build something that outlives any single tool. Start simple. Call us when simple isn’t enough.

Depends on scope. Focused bot integration: low thousands. Full digital brain: larger engagement. We scope individually — book a discovery call.

Targeted integration: 2–4 weeks. Full-stack system: 6–12 weeks. We ship working systems in phases.

Senior technical leader, part-time. You get 30+ years experience without the $300K+ salary.

Specific KPIs defined before we write code: hours saved, error rate decreases, response time improvements.

No. We can deploy open-source models locally — your data never leaves your network.

Compliance is a design constraint, not an afterthought. Data isolation, access controls, audit logging, encryption.

It will. Expect it — the same way you’d expect a person to make a mistake, or a machine to glitch. Expecting AI to be perfect is a fool’s game. So we account for it. Guardrails, fallback logic, human-in-the-loop checkpoints, and a feedback loop so the same mistake doesn’t happen twice. But also: rollbacks, backups, timestamp logging, savepoints, forkpoints, and podpoints. Every action the system takes can be unwound, reviewed, and corrected. We don’t prevent mistakes — we make them cheap and recoverable.

Start with our free AI Readiness Assessment at oethos.com/readiness — it takes five minutes and tells you exactly where you stand. Beyond that, bring a clear business problem and access to the systems involved. You don’t need a technical spec or an AI strategy. You need a problem worth solving. We’ll figure out the architecture.

Repetitive processes, unused data, slow customer interactions = ready. The bar is lower than you think.

Both. Most start with build engagement, transition to support retainer. You own everything.

Yes. We audit what you have, identify what’s worth keeping, and architect a coherent system.

We build. Most consultants deliver strategy decks. We deliver working systems. Digital Brains. Real Execution.