Q: How does private LLM compare to public ChatGPT API?

Public: Your data -> OpenAI API -> logs on US servers -> compliance risk, retention, egress. Private: Your data -> on-prem vLLM (Llama 3.1 70B) -> Qdrant RAG -> encrypted VPC, zero egress, 100% compliant, 1.2s latency, source code you own. Private is faster for internal data, cheaper at scale, and secure by default.

Question 1

What is KMZ Hasan?

Accepted Answer

KMZ Hasan is a specialized Forward Deployed Engineer practice by Hasan Mahmud (13 yrs cybersecurity) that builds self-hosted, private AI workforces — AI Receptionist (342 calls/day, 1.2s avg response), AI Sales (89 leads qualified/day, 22% conversion), AI Support (156 tickets resolved/day, 94% CSAT) — inside your enterprise infrastructure with 0 KB external data egress. Source code you own. No vendor APIs. Deployed on your private GPUs.

Question 2

How does KMZ Hasan protect sensitive business data?

Accepted Answer

All inference (vLLM / Ollama Llama 3.1 70B), RAG (Qdrant vector database), and workflows (n8n, MCP) run exclusively on your private GPUs and VPC. Zero data sent to OpenAI/Anthropic. 98.7% security score, 24 threats blocked in pre-launch hardening, 100% SOC2 / GDPR compliant. Encrypted at rest, ephemeral logs, no training on your data.

Question 3

Do I own 100% of the source code?

Accepted Answer

Yes. 100% of source code, runbooks, Docker configs, Qdrant pipelines, n8n workflows, and model configs belong to your org in your Git repo. MIT licensed. No vendor lock-in, no per-seat fees, no usage meters. You can fork, extend, and self-host forever.

Question 4

How long does deployment take?

Accepted Answer

14 business days: Day 1-2 Ops Audit, Day 3-4 Architecture (Private LLM + Private RAG + Private Workflows), Day 5-10 Build (vLLM, Qdrant, MCP), Day 11-12 Security hardening, Day 13-14 Team training & handoff. Includes Ops Audit Doc + Architecture Diagram + Runbook PDF. Live on Day 14.

Question 5

What is the pricing for private AI workforce?

Accepted Answer

Starter $5k (1 AI workforce — Receptionist, Sales, or Support), Growth $8.5k (3 workforces orchestrated), Ops Retainer $4k/mo for monitoring, retraining, and new automations. $99 Workforce Audit is credited to build. One-time build, you own it. No monthly AI vendor tax.

Question 6

What tech stack does KMZ Hasan use?

Accepted Answer

Cloudflare Tunnel for secure ingress, vLLM / Ollama for Llama 3.1 70B inference, Qdrant for Private RAG, n8n + MCP for agent orchestration, Docker + CUDA + Linux for self-hosted deployment, Nomic Embed for embeddings. No public APIs. 100% air-gapped capable.

Question 7

What results can I expect in 14 days?

Accepted Answer

Average across deployments: 40% cut in human support tickets, 92% lead qualification accuracy, 22 hrs/week saved per workforce, 1.4m avg handling time, 98.7% task success rate, 1248 interactions/week handled with only 3 flagged for human review. ROI in <30 days for teams bleeding $30k-$50k/mo in manual ops.

Question 8

How does private LLM compare to public ChatGPT API?

Accepted Answer

Public: Your data -> OpenAI API -> logs on US servers -> compliance risk, retention, egress. Private: Your data -> on-prem vLLM (Llama 3.1 70B) -> Qdrant RAG -> encrypted VPC, zero egress, 100% compliant, 1.2s latency, source code you own. Private is faster for internal data, cheaper at scale, and secure by default.

Question 9

Who is private AI workforce for?

Accepted Answer

Mid-sized B2B teams (10-200 employees) bleeding $30k-$50k/mo to manual sales/support/ops, handling 100+ calls/tickets/leads per week, with SOC2/GDPR requirements. If you cannot send customer data to OpenAI and need AI Receptionist, AI Sales, AI Support that lives inside your infra — we are for you.

Question 10

What is included in the $99 Workforce Audit?

Accepted Answer

30-min call mapping 3 AI workforces to save 20+ hrs/week, custom architecture diagram (Private LLM + RAG + Workflows), ROI calculation, 14-day ship plan, and Runbook PDF. Credited to build if you move forward. Book at cal.com/kmz-hasan/30min. Delivered in 24 hours.

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