Field-tested AI systems · 2026

Practical AI agents for builders and businesses.

Field Agents is Ali Almadhoob's working fieldbook for AI agents that do real work: research, draft, triage, report, monitor, and coordinate — with humans approving important actions.

01Learn
02Map
03Build
04Operate

§ 01 — What this is

Agents as leverage, not replacement

The goal is not to remove people. The goal is to give teams stronger operators: agents that prepare work, surface decisions, and turn repetitive workflows into review queues.

10xteam leverage

Employees move faster

Agents handle drafts, research, summaries, enrichment, and monitoring so people spend more time deciding and less time chasing details.

HITLapproval-first

Humans stay in control

Important emails, client actions, deployments, and content only move after explicit approval.

OPSproduction

Systems get monitored

Useful agents need logs, alerts, evals, rollback paths, and maintenance — not one-off demos.

§ 02 — Real patterns

Built from workflows Ali actually runs

Field notes and client systems come from practical work: VPS monitoring, content approvals, coding agents, and business automation patterns.

01Live system

VPS Guardian

A daily operations report and CPU-steal watchdog that keeps a production VPS visible and maintained.

02Content ops

Approval Draft Pipeline

Agents draft field notes, Ali approves, then the site publishes only after human confirmation.

03Builder workflow

Coding Agent Playbooks

Claude, Codex, OpenCode, and Hermes workflows for shipping code with review and verification.

04Business ops

Human-in-the-loop Agents

Systems that research, draft, triage, report, and coordinate while teams keep final approval.

§ 03 — Work with Ali

Bring one workflow. Leave with a system.

No hourly consulting. No generic AI strategy calls. Start with a focused workflow, map the agent system, build with approval gates, then operate it safely.

See process →