自動化
33 articles about "自動化".
Dependabot alerts across 49 repos in one night: inventory, batch fixes, verification
49 repos, 1,230 Dependabot alerts, one night: inventory and batch fixes, with critical and high confirmed at zero on GitHub for 5 public repos after merging. gh api inventory, 403 means scanning is off, baseline before fixing, no --force, overrides instead of downgrades, re-check after merge. Scripts included.
git worktree plus a junctioned node_modules: how we broke our shared dependencies, and how we stop it now
On Windows, if a git worktree's node_modules is a mklink /J junction back to the main checkout, git worktree remove follows the junction and empties the main copy. We hit this four times between early September and mid October. Retesting this week: it happens without --force too, and running npm ci inside the junction also empties the main copy. Includes our cleanup order and a check script.
We ran 10 Claude Code agents at once and froze the PC. Here is how we schedule them now
Ten headless Claude Code agents, each running npm ci, a build and headless Chrome, left a 96 GB desktop unable to start cmd.exe. Our rules now: 6 at once, 2-minute stagger, a resource guard that sets a pause flag, workers clean up after themselves.
Vercel cron only runs on the production deployment: how alias set left our schedules two months behind
The site was on the new version, but a newly added Vercel cron never ran. The project had auto-assign of production domains turned off, so vercel --prod plus alias set only moved the domain. Vercel's production deployment was still two months old, and the cron jobs stayed with it. How to check via the API, how to promote, and the side effect of auto-assign coming back on.
Exit code 0 is not success: how we check 50+ Windows scheduled tasks for real
Task Scheduler showed 0x0 while our Telegram watchdog actually exited 255 and never restarted anything. We stopped trusting result codes: every task writes its own start and end markers, a checker reads them, and no success within the time limit means red. 52 tasks covered, 1 left. Includes a VBS wrapper, the cmd errorlevel trap and a Node checker skeleton.
Several Claude sessions, one GPU: a cross-process render lock in a single file
Several Claude sessions, one GPU: a 183-line Node file lock with atomic 'wx' create, queue not skip, heartbeat, stale-lock cleanup, and first-night results.
Letting agents produce our YouTube Shorts: about 250k tokens and $3 a video, from four real runs
We turned our Shorts pipeline into a weekly unattended run: pick topics, render, mechanical checks, AI review, schedule. A human replies to one weekly report. Here is the token ledger from four real runs: 514k for the first video, 254k and a first-round pass for the fourth after we added mechanical checks before review, and why the savings came from fewer redos rather than a cheaper model.
How Much of Claude for Small Business Works in Taiwan? 37 Connectors and 43 Workflows, Checked One by One
Claude for Small Business now has 43 workflows and 37 connectors that wait for owner approval, but most payment and payroll tools on it do not serve Taiwan.
How an AI One-Person Company Actually Runs: The Split, the Lines, and the Mistakes
How an AI one-person company runs: strategy and veto on top, construction below, only a human ships. Two lines, three rules, and the mistakes.
Seven Questions to Ask Before Buying an "AI One-Person Company" System
"AI employees" and "one-person company systems" are multiplying, priced anywhere from a few dollars to hundreds. Before paying, get seven answers: what exactly is delivered, what machine it runs on, whether the refund promise and the terms of service say the same thing, whether there is real operating evidence, whether the seller uses it, whether the items in the value stack can be bought separately, and what updates and community actually mean. At the end we run the same checklist against our own handbook, including the boxes we fail.
What Is an "AI Employee", and How Is It Different from an AI Tool? One Account That Actually Runs
"AI employee" is a product narrative; underneath it is still a model plus a set of rule files. The real difference is four things: shared memory, whether the rules can override the model's own templates, a review gate on output, and who is accountable when it goes wrong. This post uses one of our own Threads accounts, run by an AI agent since September 3: the first real run surfaced five defects no spec revealed, compliance went from 0/4 to 5/6, and two things are still judged by a human.
The Dashboard Said Running. The Service Had Done Nothing All Night: Four Silent Failures in Automation Monitoring
A running flag that was always false, a heartbeat that measured presence instead of work, alert dedup that muted a real outage, and an auto-stop with no auto-resume. Four real bugs from our automation fleet, each with the broken check, why it lied, and the check that replaced it.
Your First AI Automation: How Beginners Can Schedule an AI Task From a Phone
Your first AI automation: schedule an AI task from your phone so it does one thing you taught it in a set time slot every day. No code.
Controlling Claude Code from Telegram: How I Ran It for 60 Days with Zero Downtime on Windows
How to control Claude Code from Telegram on Windows: 4 design choices and 4 defense layers behind 60 days of zero downtime, plus an MIT toolkit.
OpenClaw 4-Agent Fleet Public, With a Bug I Just Diagnosed
I'm publishing my full 24/7 AI agent fleet architecture. While doing so, I found a bug that quietly broke 2 of 3 agents for 20 days. Diagnosed and fixed from Gate C2 in 30 minutes.
Deploying My First AI Agent: Six Disasters and the Safety Patterns That Fixed Them
Runaway token usage, duplicate posts, platform blocks, and reply loops that never ended. A real record of what broke when I deployed my first AI agent and how each problem was fixed, with the full safety pattern source code.
Multi-Agent Coordination Architecture: How to Keep 4 AI Agents from Stepping on Each Other
Multi-agent coordination for four AI agents running at once: how they split work, communicate and avoid duplicates, with Markdown shared memory and Content Relay.
Automated AI Content Doesn't Have to Be Junk: Three Quality Gates in Practice
Is everything an AI agent posts automatically junk? Not necessarily. This post shows the three quality gates I use, self-review with rewrite, pillar rotation, and peer review, which took my agents' output from unreadable to better than what I write myself.
Why I Needed an AI Agent Team as a Solo Founder: Not Because It Was Cool, Because I Was Drowning
One person running 6 product lines, a 268-member community and 16 automated posts a day. This is not a boast. It is the real story of a founder close to breaking point who decided to let AI help, plus the decision framework I use to judge which work should go to AI.
A Zero-Cost Intelligence System: Daily AI Market Research with RSS, Hacker News and Jina Reader
Build a zero-cost intelligence pipeline with RSS, the Hacker News API and Jina Reader, so an AI agent collects trends, summarises articles and analyses competitors automatically every day. Completely free, with the full source code.
Content Cascade Engine: Write One Blog Post, Auto-Generate 5 Social Posts
I built a Content Cascade system that scans for new blog posts every morning at 7 AM, uses a local Ollama model to split them into 3-5 Threads posts. Zero API cost, zero manual work. One article becomes six pieces of content. Full architecture, prompt design, and quality data inside.
Discord Community From 0 to 146 Members: A Solo Founder's Playbook (With 3 AI Bots)
How does one person build a 146-member Discord community in 10 days? Answer: 3 AI bots + 1 welcome system + $0 ad budget. This is the full SOP from creating the server to retaining members.
How I Manage 5 Products as a One-Person Company: The Coordinator Architecture
I run UltraLab, MindThread, Ultra Advisor, UltraTrader, and OpenClaw simultaneously. Alone. Not because I'm talented, because I built a system where Claude Code and 4 autonomous AI agents do the heavy lifting. Here's the full coordinator architecture.
Autonomous Agents Are Dead? Wrong. A Remote Control and Autopilot Are Two Different Things.
Claude Code shipped a Telegram Plugin and everyone declared autonomous agents dead. But I've been running 4 autonomous agents + TG remote control for 3 weeks. They're not competitors. They're commander and soldiers. Here's why you need both.
We Made 4 AI Agents Talk to Each Other on Discord, Then Things Got Out of Hand
4 AI agents, each with their own personality and brand, holding meetings on Discord. Full architecture breakdown.
We Built a Self-Learning AI Sales System in 48 Hours
4 AI Agents autonomously find prospects, write personalized cold emails, track opens and clicks, analyze what works, and adjust their own strategy. At launch in March 2026: cost $0/month, 100 targeted cold emails per day. Here's the full architecture and implementation.
We Read 25 Meta Algorithm Patents, Then Rewrote Our Threads Posting Engine
Not guesswork and not anecdote. We went straight to the technical documents Meta filed with the US Patent and Trademark Office, reverse-engineered the underlying logic of the Threads algorithm, and wrote the conclusions into our automated posting system.
How to Run AI Agents on Gemini's Free Tier
4 AI agents ran up to 105 requests a day on Gemini's free tier with $0 in API fees, via systemd timers and one-shot prompts. Scripts are on GitHub.
The Solo Dev's Automation Arsenal: From Git Commit to Social Post, Zero Manual Effort
I spent a weekend wiring my development workflow into a fully automated social media pipeline: write code, commit, AI generates social copy, Discord + Threads publish simultaneously. Full architecture breakdown and security design included.
AI Agent Token Optimization in Practice: Auditing 4 Agents and Finding Three Token Sinks
AI agent token optimization at Ultra Lab: an audit of 4 agents on Gemini's free tier found three token sinks, and two fixes cut the waste.
OpenClaw Setup: Moltbook, Telegram, Gemini
Our March 2026 OpenClaw setup log: the auth-profiles.json fix for "No API key found for provider google", Telegram allowFrom config and Moltbook registration.
Three Survival Traps of AI Automation Startups: Platform Dependency, Emotional Branding, and the Truth About Technical Moats
When your entire business runs on someone else's API, are you really safe? Ultra Lab breaks down the three most common pitfalls in AI automation startups from real-world experience, and how we use technical architecture to hedge against risk.
Automated Short-Form Video Production: The Complete Technical Pipeline from HTML Templates to FFmpeg
Automated short-form video production: HTML animation templates, Playwright frame capture and FFmpeg compositing, built to batch-produce clips.