Coolify
deploys our sites and services
PILLAR 1 Self-host AI
Run your own AI, at real cost.
Self-hosting AI means choosing a server, a model runtime and someone to operate them. This pillar says which server, for how much and with what, from the three servers we run.
Affiliate disclosure: some links on this page may be affiliate links. They never change the order. How we test.
What we run in this pillar
Every verdict here follows the same method: how long we ran the tool, what we paid, what broke. How we test.
Cloudflare Tunnel
publishes them without opening ports
Tailscale
private access between our servers
Contabo VPS
the sandbox where new tools start
Verdicts and guides
01 · 2026-10-01
Guide: self hosted ai for consulting firms, one workflow test
Decide whether self-hosted AI fits a consulting firm by mapping one workflow, its data path, operator, approvals, maintenance, recovery, and exit test.
Read →02 · 2026-09-23Self-Hosted AI for Consulting Firms: Box vs SaaS
Compare self-hosted AI with managed SaaS for a boutique consulting firm by testing workload, data path, model choice, maintenance, ownership, and exit.
Read →03 · 2026-09-18AI Agent Hosting: Managed vs Operator-Owned
Choose AI agent hosting by assigning compute, model access, files, secrets, logs, backups and recovery to a named operator.
Read →04 · 2026-09-14Self Hosted GPT: Open Weights, Not ChatGPT
Learn what self-hosted GPT means, what stays on your hardware, and what your firm must own across models, files, logs, access, and recovery.
Read →05 · 2026-09-13Local AI Agents: What Runs Locally and What You Own
Map where a local AI agent model, runtime, data, tools, and outside connections live before choosing a private box, hybrid setup, or managed service.
Read →06 · 2026-08-30Self Hosted AI Server: Setup and Maintenance
Set up a self hosted AI server with clear boundaries, then plan access, updates, backups, recovery, support, and ongoing maintenance.
Read →07 · 2026-08-20On Premise AI Platform: Workload Decision Sheet
Evaluate an on premise AI platform by workload, hardware, data path, operator and acceptance tests. Use this local, cloud and hybrid decision sheet.
Read →08 · 2026-08-18AI Hosting: Choose the Right Operating Boundary
Compare AI hosting by model, runtime, data, tools and control boundaries. A practical guide for private and sovereign AI buyers.
Read →09 · 2026-08-10Host Your Own AI: What You Actually Own
Map the model runtime, agents, data, tools, network and operating responsibility before you choose a private AI box.
Read →10 · 2026-08-05AI Model Hosting: Choose the Right Boundary
Choose an AI model hosting boundary for your consulting firm based on data, operations, capacity, and exit ownership.
Read →11Private AI: A Boundary Guide for Small Firms
Map private AI boundaries for prompts, files, models, logs, identities and admin access before choosing a deployment.
Read →12Private AI for a small firm
A private system gives one firm a dedicated operating instance. The useful questions are where records live, who can read them, who can change permissions, and what leaves with you.
Read →13BYOK for AI agents
Bring your own key means the model account and credential remain under your control. You can see usage, rotate the key and revoke it without waiting for the software vendor.
Read →14Total cost of a private AI setup
The subscription is one cost. Add model usage, the server, connected tools, owner review time, maintenance and the cost of incorrect actions.
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