Hermes agents
run our daily jobs and reports
PILLAR 2 Agents
Agents and automation, compared in real use.
These are the agent tools that run the AI Jungle fleet every day. Each verdict says what the tool does for us, what it costs and where it fails.
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.
Claude Code and Codex
write and review code in delegation
Composio
connects our agents to the apps they work in
Granola
meeting notes our agents read through MCP
ElevenLabs
voice clone for a narration
Firecrawl
tried as the agents' web backend, dropped when the credits ran out
Verdicts and guides
01 · 2026-09-30
AI agent architecture: an operator review packet
Review an AI agent architecture across five layers. Trace requests, tools, data, permissions, approvals, failures, logs, stops, and handover ownership.
Read →02 · 2026-09-29AI Automation Agency vs an Owned AI Cockpit
Compare an AI automation agency with an owned AI cockpit by ownership, operating responsibility, acceptance evidence, pricing scope, and handback.
Read →03 · 2026-09-22AI Automation Services: A Buyer’s Scope Sheet
Choose AI automation services by defining the first workflow, its human approval boundary, and who owns the operating environment and handoff.
Read →04 · 2026-09-17AI Agent Platform: Ownership Guide for Boutique Firms
Choose an AI agent platform by assigning ownership of its runtime, files, permissions, logs and recovery before comparing deployment models.
Read →05 · 2026-09-11AI 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 →06 · 2026-09-04AI Agent Workflow: Build a Control Map
Map permissions, approvals, evidence and stop conditions before connecting tools in an AI agent workflow for a boutique firm.
Read →07 · 2026-09-03AI 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 →08 · 2026-09-01Best No Code AI Agent Builder for Ownership
Compare hosted no-code, open workflow builders, and private cockpits by ownership, controls, portability, and exitability.
Read →09 · 2026-07-13What Is AI Automation? A Guide for Boutique Firms
AI automation runs a task end to end through an agent. See the types that exist and how a private cockpit differs from a shared automation platform.
Read →10Personal 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 →11Security and governance for AI agents
Start with identities, scopes and approval rules. An agent that drafts a quote does not need permission to send it or change a price.
Read →