№ 01 The journal
The logbook. Useful things.
Long-form notes on private AI, agent platforms and the operating choices that matter for an owner-led firm.
Host 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 the entry →JOURNAL · 02What Is AI Automation? A Guide for Boutique Firms
AI automation runs a task end to end through an agent.
Read the entry →JOURNAL · 03AI Agent Platform: Choose by Deployment Boundary
Choose an AI agent platform by mapping SaaS, private cloud, BYOC and self-hosted boundaries.
Read the entry →JOURNAL · 04Open-Source AI Agent Platform: An Owner's Guide
Choose an open-source agent platform by its code, operating boundary, and portability evidence.
Read the entry →JOURNAL · 05AI Automation Agency vs. Sovereign Cockpit
The difference is who owns the outcome and the operating boundary.
Read the entry →JOURNAL · 06AI Agent Orchestration: Definition, Patterns and Control Map
Define AI agent orchestration, compare documented patterns, choose a framework or operated service, and map routing, state, permissions, logs and recovery.
Read the entry →JOURNAL · 07Self Hosted AI Starter Kit: Lab or Private Service?
Choose a self hosted AI starter kit with practical checks for ownership, access, updates, recovery, hardware, and production scope.
Read the entry →JOURNAL · 08AI Agent Architecture: A Five-Layer Operator Guide
Design AI agent architecture around five operating layers, clear failure boundaries, scoped tools, owned data, approvals, and observable runs.
Read the entry →JOURNAL · 09Personal AI Agents: Choose the Control Boundary
Compare hosted, local, and hybrid personal AI agents by data boundary, tool permissions, approvals, memory, and stop conditions.
Read the entry →JOURNAL · 10No Code AI Agent Builder: Control and Ownership Guide
Choose a no-code AI agent builder by testing access, approvals, logs, exports, and ownership. A practical guide for boutique consulting firms.
Read the entry →JOURNAL · 11AI Agent Integration: A Practical Control Map
Plan AI agent integration around systems, credentials, approvals, evidence, tests, rollback, and exitability for a boutique consulting firm.
Read the entry →JOURNAL · 12AI Agent Workflow: A Control Diagram for Boutique Firms
An AI agent workflow mixes deterministic steps and agent judgment. Map permissions, approvals, evidence and rollback before you connect tools.
Read the entry →JOURNAL · 13AI Automation Services: A Buyer’s Scope Sheet
Scope AI automation services around workflows, ownership, permissions, evidence, handoff and rollback before you buy a demo.
Read the entry →JOURNAL · 14Private 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 the entry →JOURNAL · 15On Premise AI Platform: A Buyer’s Decision Sheet
A practical decision sheet for consulting firms choosing local, cloud, or hybrid AI workloads on a private box.
Read the entry →JOURNAL · 16AI Hosting: Choose the Right Operating Boundary
Compare AI hosting by model endpoint, runtime, data, tools, and control boundaries before choosing an operator.
Read the entry →JOURNAL · 17AI Model Hosting: Choose the Right Boundary
Choose an AI model hosting boundary by data, operations, capacity, and exit ownership.
Read the entry →JOURNAL · 18Self-Hosted AI Server: A Firm Operator Guide
Decide whether a self-hosted AI server fits your firm. Map the workload, model boundary, access, records, updates, backups and recovery.
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