Guides to AI automations that don't fail silently.
How to run Claude Code and Codex on a schedule, hand them real jobs and know each run did its job, on the plan you already pay for.
Run Claude Code or Codex in the cloud on your own subscription: every option compared (2026)
Every way to run Claude Code or Codex in the cloud on the Claude or ChatGPT plan you already pay for: cloud sessions, scheduled tasks, Codex Cloud, your own server, partner apps and hosted workspaces. What each bills and what keeps running with your laptop closed.
Read the postHow to schedule Codex Cloud tasks: 4 ways that work today (October 2026)
Codex Cloud has no built-in schedule yet. Four ways to run Codex on a schedule anyway: ChatGPT scheduled tasks, cron with codex cloud exec, codex exec in GitHub Actions, and a hosted workspace. The setup, the sign-in each one needs, and where each one breaks.
Read the postCan you use a Claude or ChatGPT subscription for automation? What Anthropic and OpenAI say (October 2026)
Yes, with limits that differ by company. Anthropic says Claude Code scheduled tasks, claude -p and third-party apps draw from your plan's limits. OpenAI says API keys are the right default for automation, and lists the apps allowed to use a ChatGPT plan. The rules, dated and sourced.
Read the postWhat can you do with a Claude Max or ChatGPT Pro plan beyond chat? 12 jobs worth automating
Claude Max and ChatGPT Pro buy more than longer chats: Claude Code, Codex, background tasks and scheduled runs. What each plan includes, how its limits work, and 12 recurring jobs that turn spare usage into finished work, with a prompt to start one.
Read the postAI agent governance for small teams: approvals, audit trails and observability
AI agent governance without a compliance department: decide what an agent may do alone, make the rest wait for approval, keep a record of every run and check the results. A practical setup for a small team, the risks it guards against, and what to log.
Read the postAI agents vs workflows: why a proactive agent still needs a workflow
An AI workflow follows predefined steps; an AI agent decides its own. When to use each, why recurring work needs both, and how a workflow written in plain words gives an agent's judgment a repeatable shape with a trigger, an output and a checklist.
Read the postAI code security review: check every pull request and track CVEs in your dependencies
AI-written code ships security flaws often enough that every change needs a review. What to check on each pull request, how to watch your dependencies for new CVEs every day, and how to run both as workflows with a checklist.
Read the postClaude Code cloud environment: pricing, setup scripts, secrets and network access
How the Claude Code cloud environment works: what cloud sessions cost on your plan, the machine you get, setup scripts and caching, environment variables and network secrets, network access levels, Docker and MCP, what carries over from your laptop, and when it's the wrong fit.
Read the postHow to use Claude Code from your phone (iPhone and Android)
How to use Claude Code from your phone: start cloud sessions in the Claude app, control a session on your computer with Remote Control, or SSH in with tmux. Setup steps, push notifications, why Remote Control disconnects, and how to keep work going with your laptop closed.
Read the postThe best way to work with Claude Code in the cloud (6 options compared)
Does Claude Code run locally or in the cloud? Both. The six ways to run Claude Code in the cloud: cloud sessions, Remote Control, scheduled tasks, GitHub Actions, your own VPS and a hosted workspace. What each costs on your plan, and which one fits your job.
Read the postClaude Code on a VPS: setup, login and tmux, step by step
How to run Claude Code on a VPS or remote server: what size server you need, installing it, signing in with your Pro or Max plan on a headless machine, keeping sessions alive with tmux, running unattended jobs, securing the server, and what a VPS still leaves to you.
Read the postProactive AI agents: what they do well, and the five things they still need
Proactive AI agents act before you ask: they watch your inbox, calendar and tools and take the first step. What they do well, and the five things work adds: approvals, a record of every run, corrections that stick, repeatable workflows and one place to run them all.
Read the postHow to run Claude Code 24/7, even with your laptop closed
How to keep Claude Code running 24/7: cloud scheduled tasks, cloud sessions, GitHub Actions and an always-on server compared. Why it stops when your laptop sleeps, what breaks when nobody is watching, and how to know an always-on agent actually did the work.
Read the postSelf-improving AI agents: continuous learning for automations that adapt to your feedback
A self-improving AI agent gets better from feedback: it runs, gets checked, takes your correction and remembers it next time. How the feedback loop works, what the research says, where self-improvement goes wrong, and how to keep an automation adapting while it stays under your control.
Read the postToo many AI agents? Why one orchestrator beats a dozen agent chats
AI agents multiply faster than anyone can manage them: one per app, one chat per job. Why agent sprawl happens, what it costs a small team, and how one lead agent with one inbox and one calendar replaces a dozen separate agent chats.
Read the postHow to use Claude Code and Codex for non-coding tasks (and keep them running)
Claude Code and Codex are strong at non-coding work: research, writing, files, reports and recurring ops. How to set up a folder for it, what each tool does differently on schedules and approvals, where the DIY setup costs you, and how to run it in Kavela.
Read the postWhat would you pay $20 to get automated? That's your use case
What can I automate with Claude, Claude Code or Codex? Use a simple $20 test for picking the right job, six recurring jobs that pass it, what not to automate, the honest cost of running them yourself, and a prompt to start one in Kavela.
Read the postHow to build an agent orchestration pipeline: stages, architectures, and what breaks
A production agent orchestration pipeline has eight stages: trigger, plan, route, isolated execution, approval gates, deliverables, memory and resume. How each works, which multi-agent architecture to pick, what breaks in practice, and how Kavela runs it.
Read the postHow to auto post on your LinkedIn with an AI agent (and approve every post)
Set up an AI agent that drafts LinkedIn posts from your notes, launches and Notion pages, runs on a weekly schedule, and posts from your own account only after you approve the exact text. Inputs, voice, cadence, API vs browser, and the setup in Kavela.
Read the postClaude calendar: how to schedule Claude Code tasks and run Claude Code on a schedule
How to run Claude Code on a schedule: cron with the headless CLI, GitHub Actions, and Claude Code's own schedulers. The pitfalls (expired logins, a sleeping laptop, runs nobody sees) and how a calendar of routines running in the cloud on your Claude plan avoids them.
Read the postClaude Code orchestration: how to run multiple Claude Code agents without losing track
What Claude Code orchestration means today: subagents, agent view, agent teams, dynamic workflows and projects. Where it breaks, above all work reported done that isn't, and how to run it with every result checked, on your own Claude plan.
Read the postCan Claude manage other agents? How to set up a Claude manager agent that delegates
Yes, Claude can manage other agents. How the manager and worker pattern works, how to prompt a lead agent to delegate well, the three ways it fails (the manager does the work, context gets lost, nobody reviews) and how to run workers on your own Claude plan.
Read the postClaude task management: give Claude Code a real task board instead of one long chat
How to manage tasks with Claude Code: one task per piece of work, each with an owner, a due date, a status and a deliverable. Set it up by hand with markdown task files, see where that stops working, and how a calendar of tasks filed by a manager agent fixes it.
Read the postCodex orchestrator: how to run multiple Codex agents at once
How to orchestrate Codex agents in parallel: split the work, give each agent its own worktree or cloud task, track owners, collect diffs, route approvals and keep runs alive. Plus how Kavela runs Codex workers on your own Codex plan.
Read the postHow to coordinate multiple AI agents so they stop stepping on each other
Running several AI agents brings file collisions, orphaned tasks, duplicate work, lost context and silent waits. How to coordinate multiple AI agents: one coordinator, one owner per task, isolated workspaces, shared context, one approvals queue and a visible schedule.
Read the postChoosing an IDE for agent orchestration: what you need to run many AI agents
What a tool needs to orchestrate AI agents: one view of all work, clear ownership, schedules, approvals, logs and deliverables, and agents that keep running with your editor closed. How an editor, terminal multiplexing and a calendar workspace compare.
Read the postToo many Claude Code sessions? How to manage multiple AI agent sessions without the friction
Managing many Claude Code or Codex sessions means tab sprawl, runs that die when the laptop sleeps, lost context and constant checking. Practical fixes (names, worktrees, tmux, notes, notifications) and the structural one: sessions as tasks on a calendar.
Read the postHow to use AI more efficiently: delegate whole outcomes instead of prompting turn by turn
How to be more efficient with your AI use: write briefs with a goal and done criteria, batch and schedule recurring work, keep context in one place, review deliverables instead of watching runs, and get full use from the Claude or Codex plan you already pay for.
Read the postUGC farm with Claude: hooks, scripts and a weekly plan with Claude Code
How to run a UGC farm with Claude: audience research, hook writing, script variants in your brand voice, reviewing generated videos against reference clips, and a weekly content plan, with your approval before anything posts. Plus how to run it in Kavela on your Claude plan.
Read the postUGC farm with Codex: how to build an AI UGC pipeline
Build a UGC content farm with Codex: the pipeline stages from hook research to video generation, captions, scheduling and metrics, the code Codex should write and run, the rules that get accounts in trouble, and why every post needs a human approval.
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