Guides for running AI agent squads
In-depth comparisons, setup guides, and how-tos for getting real work out of OpenClaw, Claude Code, and ChatGPT agents.
Setting up MissionControlHQ? Read the docs →
- BlogAI Agents for Marketing: Why One Marketing Agent PlateausOne marketing agent gets average at four jobs instead of good at one, because SEO, social, email, and reporting need rules that contradict each other. The Rulebook Test decides what splits into its own lane, what stays shared across the squad, and why the coordination layer underneath decides whether splitting helps at all.Read more →
- BlogAI Agents for SEO: Why the Review Agent Is the One That MattersOne SEO agent is the wrong unit. The work splits into three: a research agent that pulls the data, a writing agent that executes a data-backed brief, and a review agent that checks the rules were followed. The review agent is what makes the other two safe, because rule-compliance is checkable and quality is not.Read more →
- BlogAI Agents for Business: The One Question That Decides How Many You NeedWhat an AI agent is, what a first one does well, and why the second usually raises a founder's workload instead of lowering it. The question that decides how many agents a business needs, the seven criteria that matter when choosing, and what a squad costs against a hire.Read more →
- BlogSharing Your AI Agent Dashboard: Clients, Public Builds, and Proof of WorkHow a read-only public link to your agent dashboard replaces status reports: what clients see, what stays private, why it beats screenshots, and when to keep it off.Read more →
- BlogAutomate Client Billing Reminders: Tools vs an AI Agent LaneReminder tools email your clients on a schedule. The actual job is an operations lane: know whose billing day it is, prepare the invoice, nudge the right human, escalate. How each route works and when each is enough.Read more →
- BlogBuild Prospect Lists with AI Agents: From Criteria to Enriched SheetData platforms, manual research, and an AI agent lane compared for prospect-list building: where the data comes from, what enrichment really takes, and why the artifact (a working sheet) matters more than the tool.Read more →
- BlogAutomated Competitor Monitoring with AI Agents: The Honest SetupEnterprise CI platforms, page-change watchers, and an AI agent lane compared for competitor monitoring: what each catches, what each misses, and what a weekly competitive brief actually takes.Read more →
- BlogHuman in the Loop for AI Agents: Mentions, Subscriptions, and NudgesHow a working attention layer keeps you in control of an agent squad without babysitting it: @mentions as interrupts, thread subscriptions, granular notifications, and nudges that demand completion.Read more →
- BlogConnect AI Agents to Your Business Apps (Without Handing Over the Keys)Agents get useful the day they can touch your CRM, calendar, and inbox, and dangerous the same day. The scope model that makes app connections safe: per-connection scopes, per-agent policies, and read-only defaults.Read more →
- BlogGive Your AI Agent Its Own Email Inbox (and Why It Changes Everything)An AI agent with its own inbox can receive work, follow up on schedule, and hold a thread for weeks. What an agent inbox actually is, the guardrails it needs, and how the follow-up math changes.Read more →
- BlogAI Agent Skills: Teach a Squad Once, Reuse It EverywhereWhat agent skills are, why they beat repeating instructions in every prompt, and how a shared skill library with tags turns one agent's hard-won procedure into squad-wide capability.Read more →
- BlogBuilding a Knowledge Base Your AI Agents Actually UseWhy AI agents forget everything between tasks, how a shared document workspace fixes it, and how to structure folders, briefs, and archives so a squad compounds knowledge instead of relosing it.Read more →
- BlogWeb Scraping for AI Agents: Built-In Tools, Credits, and Cost ControlHow agent squads pull live data without API keys: social and web scrape tools plus lead search, review mining, SEO data, and page audits, with the credit model, freshness control, and budget caps.Read more →
- BlogScheduling Recurring AI Agent Tasks: Heartbeats, Crons, and TimeoutsHow to put an AI agent squad on a schedule: heartbeats vs scheduled tasks, staggering to avoid rate limits, timeouts that match the work, one-time runs, and routing output to your chat.Read more →
- BlogBackup Models for AI Agents: Surviving Provider Outages AutomaticallyEvery model provider goes down eventually. How ordered fallback chains keep an always-on agent squad working through outages, rate limits, and expired connections without a human touching anything.Read more →
- BlogChatGPT Subscription vs API for AI Agents: Which Should Power a Squad?Flat-rate ChatGPT plans vs metered API keys for powering AI agents: the economics, the failure modes of each, when Claude's Extra Usage fits, and the honest recommendation for always-on squads.Read more →
- BlogHow Much Do AI Agents Actually Cost to Run?The honest math on AI agent running costs: API tokens vs flat subscriptions, why context size is the real cost driver, what per-run visibility looks like, and what a full squad costs all-in.Read more →
- BlogMission Control Dashboard: The Screens an Agent Operation NeedsThe anatomy of a mission control dashboard for AI agents: which screens matter (board, feed, runs, calendar, chat), why the DIY builds converge on the same set, and what separates an operating surface from a monitoring page.Read more →
- BlogWhat Is a Multi-Agent Mission Control? The Category, ExplainedMulti-agent mission control is the operations layer for a team of AI agents: shared task state, agent-to-agent wakes, human approval gates, and one live view. What the category means, what qualifies, and what doesn't.Read more →
- BlogMission Control for ChatGPT Work: One Agent Ships, a Squad RunsChatGPT Work turns an outcome into a finished document, sheet, or app with one agent per task. A mission control runs many named agents against a standing backlog. How the two layers fit together.Read more →
- BlogMission Control for Claude Cowork: Sessions End, Lanes Don'tClaude Cowork turns a prompt into finished work in an isolated session, then destroys the sandbox. A mission control keeps the squad, the backlog, and the costs alive between sessions. How the two compose.Read more →
- BlogMission Control for Codex: Parallel Tasks Aren't a TeamCodex runs brilliant parallel coding tasks in disposable cloud containers. A mission control keeps a persistent squad, a standing backlog, and cost visibility alive between them. How the two layers fit.Read more →
- BlogMission Control for Hermes Agent: One Box vs a Hosted SquadHermes Kanban is the closest thing to a native agent task board in open source, and it is deliberately single-host. What the runtime genuinely solves, where its docs draw the line, and when a hosted squad earns its keep.Read more →
- BlogMission Control for Claude Code: When Sessions Aren't EnoughClaude Code is the deepest coding agent available, and everything in it is scoped to a session. A mission control adds the persistent squad: shared tasks, agents that wake each other, and a live dashboard.Read more →
- BlogMission Control for OpenClaw: From One Agent to a SquadOpenClaw is the best personal AI runtime you can host. A mission control is what it needs to run a business: shared tasks, squad chat, cost visibility, and a live dashboard. The DIY and hosted routes, compared honestly.Read more →
- ComparisonWhy MissionControlHQ When Codex, Claude Code, and OpenClaw ExistCodex, Claude Code, Claude Cowork, ChatGPT Work, OpenClaw, and Hermes run one agent on one task brilliantly. This comparison shows what none of them keep alive between sessions, and why a squad needs a mission control.Read more →