OpenClaw Is Trending. So I Tried It.
AI agents are having a moment. Among them, an open-source AI agent framework called OpenClaw has been making waves in developer communities. “Run an AI secretary on your own server,” “command anything via Telegram” — that’s the pitch.
So I tried it. Installed OpenClaw on the home server from Episode 1, connected it to a Telegram bot, and used it for about a week.
The verdict?
“Revolutionary? No. But a few things are genuinely useful.”
What Is OpenClaw, Briefly
OpenClaw is an open-source AI agent platform. Install it on your server, and AI doesn’t just chat — it actually executes tasks. It reads files, calls external APIs, and runs jobs automatically on a schedule. The biggest difference from ChatGPT is this “agency” — the ability to act, not just answer.
It integrates with messengers like Telegram and Slack, and you can extend functionality through a plugin system called “skills.” You can freely swap AI models — Gemini, Claude, GPT, local LLMs, whatever you want.
Installation is one Docker command. But the actual skill development and setup… I’ll get to that.
Connecting Telegram — Meet “Jolgae”
After installing OpenClaw, you connect it to a Telegram bot. Create one through BotFather, drop the token into OpenClaw’s config, done. That part’s easy.
The important part is the name. What do you call your AI assistant? After some thought — “Jolgae” (졸개).
Jolgae is a Korean word meaning “underling” or “lackey” — the lowest-ranking errand boy in the Joseon Dynasty military. Someone who just does what they’re told, no questions asked. Think about what an AI agent actually is. It’s fundamentally “a thing that does stuff when you tell it to.” No need for grandiose names like “Jarvis” or “Alexa.” Let’s be honest. It’s a lackey.
“Jolgae, what’s the weather?” “Jolgae, translate this.” — it just feels natural. Not some grand AI assistant, just an errand boy I boss around. Took five seconds to name it, but surprisingly satisfying.
Honestly, It Wasn’t Mind-Blowing
My expectations were high. “AI agent” sounds like science fiction. An AI secretary living on my server? Commands via Telegram?
But in practice… it’s not that different from texting ChatGPT. Ask a question, get an answer. Request a search, it searches. There were honest moments of “…is that it?”
The things developers rave about — the skill system architecture, model waterfall switching, API routing — technically elegant, sure. But as a regular user, “so what actually changes in my daily life?” matters more.
Opening the ChatGPT or Gemini app to ask a question versus texting Jolgae on Telegram — the difference isn’t dramatic. At least not at first.
But Then. Things Start Getting Convenient.
A few days in, I noticed something. “Hmm, I’d miss this if it were gone.”
It doesn’t dramatically change your life. But small conveniences stack up, and that stack gets surprisingly tall. Here are the features I found genuinely useful after a week.
1. Morning Briefing — No More Scrolling
Every morning at 7 AM, there’s a Telegram message waiting. Busan weather and air quality, exchange rates and gold prices, industry news I follow, AI tech trends, gaming news. Only topics I care about.
I used to open a news page on my commute and scroll through ads and clickbait until something interesting showed up. Now I don’t have to. AI reads the articles and sends 3-line summaries to Telegram. Two minutes on the subway and I’m caught up for the day.
Would I install OpenClaw just for this? That’s a stretch. But it’s the feature I use daily and enjoy most.
2. Voice Transcription — This Actually Saves Money
This was the surprise killer feature. Google Meet, Zoom, Teams, Webex — send Jolgae a meeting link and a bot joins the call, records it, and converts everything to text.
Whisper (open-source speech recognition AI) runs on the server and converts speech to text. Jolgae then summarizes the result, separating key points, action items, and decisions. Results auto-save to Notion too. When the meeting ends, the minutes are waiting in Telegram.
Cloud transcription services like Otter.ai run $20-30/month. This setup? $0. Everything processes on my server.
One realistic caveat though. Whisper is hardware-hungry. Running local Whisper on my server (Ryzen 7, 32GB RAM) with CPU only, a 1-hour audio takes over an hour to transcribe. Yes, slower than real-time. You wait as long as the recording — or longer. An NVIDIA GPU with CUDA would make it 5-10x faster, but my server only has an AMD integrated GPU (Radeon 780M). AMD doesn’t support Vulkan acceleration for this, so the GPU just sits there unused. CPU-only it is. You need at least 16GB RAM for the medium-quality model, and 32GB for comfortable large-model usage. On an 8GB machine, it’s practically unusable.
So I also use OpenAI’s Whisper API. Cloud processing makes the speed noticeably better. Still not snappy, but a lot more bearable. Free local vs paid API — pick depending on the situation. I’ll cover this feature in more detail in the next episode.
3. Weekend Outing Planner — My Wife Likes This One
Friday at 6 PM, “Weekend outing recommendations!” arrives on Telegram. It checks weekend weather, picks three seasonal courses near Busan. Each comes with the address, drive time, kid-friendliness rating, parking info, estimated cost, and a rainy-day backup.
Honestly, the recommendation quality isn’t always great. Sometimes it suggests odd places, or recommends spots I’ve already visited. But the time spent wondering “what do we do this weekend?” shrinks. Bad suggestion? Don’t go. Good one? Just go.
Sharing “how about here?” with my wife turns into a conversation starter. That’s way better than staring at each other asking “so… what should we do?”
4. Auto Blog Publishing — 10 Minutes Per Post
This blog itself is proof. Give Jolgae a topic and it handles keyword research, writing, SEO meta tags, stock image insertion, and bilingual KO/EN publishing to WordPress. About 10 minutes per post.
Of course, AI-written content doesn’t go up unedited. There’s always something to fix. AI has never produced a 100% perfect post. But starting from a blank page versus starting from an 80% draft is night and day. I’ll dive deeper into the blog auto-publishing pipeline in the next episode.
Things That Fell Short
An honest review means covering the downsides too.
- For general chat, ChatGPT is just better. Faster responses, higher quality answers. Opening the ChatGPT app is often more convenient than texting Jolgae on Telegram.
- Setting up skills isn’t easy. Officially, “no code needed.” In reality, you end up having AI write code for you. A non-developer adding new skills alone isn’t realistic.
- It’s dumb sometimes. Misunderstands commands, sends wrong results, or errors out for no apparent reason. “AI agent” absolutely does not mean infallible.
- Responses can be slow. Simple chat is fast, but tasks involving web search can take 30 seconds to a minute. Frustrating when you’re in a hurry.
ChatGPT vs OpenClaw — Side by Side
| ChatGPT / Gemini App | OpenClaw (Self-Hosted) | |
|---|---|---|
| Chat Quality | High | Moderate (depends on model) |
| Response Speed | Fast | Moderate to slow |
| Scheduled Tasks (Cron) | No | Yes |
| Access Server Files | No | Yes |
| External API Integration | Limited | Unlimited |
| Telegram Integration | No | Built-in |
| Data Privacy | Cloud-stored | Your server only |
| Extensibility | GPTs (limited) | Skill system (unlimited) |
| Setup Difficulty | None | Docker required |
| Cost | $20+/month | API usage only |
Bottom line: ChatGPT wins overwhelmingly on chat quality and speed. But if you need automation, scheduled execution, and server integration, OpenClaw can do things ChatGPT simply can’t. Different tools for different jobs.
So, Worth Installing?
OpenClaw is a good fit if you:
- Already have a home server running Docker
- Need daily, repetitive information gathering (news briefings, price monitoring)
- Do frequent voice transcription (this genuinely saves cloud service fees)
- Want everything unified through one Telegram bot
You can skip it if you:
- Are happy with ChatGPT Plus or Gemini Advanced subscriptions
- Don’t have repetitive tasks worth automating
- Don’t have a server — phone only
It’s not a revolution. But once set up, daily conveniences quietly accumulate. Morning briefings, voice transcription, weekend recommendations — those three alone made the installation worthwhile for me.
Technical Details (For the Curious)
My Jolgae (OpenClaw agent) configuration for reference:
| Item | Configuration |
|---|---|
| AI Models | Gemini 2.5 Flash (primary) → Claude Haiku → GPT-4.1-mini → Ollama (local backup) |
| Installed Skills | 32 (briefing, transcription, blog, planner, monitoring, etc.) |
| Automated Tasks | 1 daily + 3 weekly + 2 monthly |
| Interface | Telegram bot |
| Server | Beelink SER9 MAX, AMD Ryzen 7, 32GB DDR5 |
| Monthly Cost | ~$4 electricity + API usage fees |
OpenClaw installation itself is one Docker command. But skill development and detailed configuration? I had AI (Claude Code) do it for me. Honestly, a non-developer doing it alone is tough. But having AI do it for you counts as a valid approach. That’s how things work in 2026.
Currently Installed Skills (32)
| Category | Skill | What It Does |
|---|---|---|
| Daily Automation | morning-briefing | Custom news briefing every morning |
| weekend-planner | Weekend outing course recommendations | |
| weekly-insight | International trends weekly digest | |
| Content | blog-factory | Auto blog writing + publishing |
| translate-blog | Multilingual blog translation | |
| image-gen | AI image generation | |
| Work Tools | meeting-transcribe | Voice file transcription + summary |
| ocr-bot | Extract text from images | |
| gold-briefing | Business news briefing | |
| Monitoring | rate-monitor | Telecom rate change detection |
| busan-culture | Busan culture/experience program watch | |
| power-monitor | Server power monitoring | |
| Knowledge Mgmt | notion-rag | Notion semantic search |
| local-rag | Local file semantic search | |
| second-brain | Personal knowledge management | |
| System | system-heal | Server self-healing |
| self-evolution | Agent self-learning | |
| Lifestyle | food-recommend | Restaurant recommendations |
| anniversary | Anniversary reminders | |
| Other | +13 more | n8n integration, decision helper, side hustle explorer, etc. |
Of these, only about 5-6 make a noticeable daily difference. The rest are “nice to have.” But those 5-6 showing up in Telegram every morning — that’s the whole point.
Next Episode Preview
The blog auto-publishing I briefly mentioned in this episode — next time, I go deep. How AI publishes a blog post in 10 minutes — from keyword research to bilingual KO/EN publishing, all broken down from a non-developer’s perspective.
EP.6 — AI Writes My Blog? Building an Auto-Publishing Pipeline.