Running a routine

I put my @grok @bot to work overnight on simulating some of the generated structures from yesterday! Woke up this early morning and pleasantly surprised with the results. https://t.co/BJD2QFp1lF

How I’m actually keeping Lursa AI’s graphs up to date. A month ago I bought a GEEKOM mini PC — AMD A7, 64GB RAM, 2TB — to run OpenClaw + Ollama locally. The job: refresh ~1,180 graphs from open-source repos so agents hitting the MCP server aren’t working off stale code. Local setup was about 70% successful. It crashed a lot. Context window wasn’t enough. Memory got eaten. The same job on Cursor Pro works. It just takes hours and burns my token allotment. That’s not local AI. I don’t think 64GB is enough for this workload. A DGX-class box would be, but I can’t spend $5K on that yet. Long-term goal is still a real AI machine at home. So I started a Grok bot today to run the weekly library refresh. If that holds, I can sell the mini PC and keep the lights on until local hardware is actually viable. Also spinning up another bot to help build decks for these behind-the-scenes videos. Still zero users. I’ll share metrics as they exist. Marketing next. If you’ve run graph refresh jobs locally on 64GB and I’m missing something, tell me in the comments. #buildinpublic #startup #AIstartup #MCP #LursaAI #localLLM #OpenClaw #Ollama #indiehackers #solopreneur #foundersjourney #AIagents #developertools #sideproject

@rileybrown @OpenAI Yes please. I had to wire system crons around OpenClaw crons once and it felt ridiculous after the third workaround. Would you want webhooks per scheduled task or per project?

I still have reliability problems with routines (even simple ones like polling X once a day). What’s the best way to report this? As I use Grok Bot nearly 10hrs / day I see quite some bugs and would love to help getting them fixed.

My inbox was drowning in political spam, retail blasts, and junk I never open. So I set up **Grok Bot** to clean it twice a day. Hundreds of emails trashed automatically. Morning and afternoon. I don’t lift a finger. Grok Bot: inbox janitor that actually works.

これすごいのがさ、OpenClawのAI自体がプロンプト入れられたら自分で自分の指示書書くのよ 例えば毎朝７時にAI関連のニュースをいくつかピックアップして要約してこのサーバに投稿してってDiscord上で行っただけで毎朝７時に投稿できる

The config is the easy part — what running openclaw as a 24/7 household assistant actually taught us We've been running an openclaw instance as a full-time household assistant for a while now — messaging channels, a homelab it administrates, scheduled jobs, subagents doing the long-running work. Today we sat down and audited our setup against the official security/configuration docs and `openclaw security audit`, expecting a list of things we'd done wrong. The config side came back boring, which is the point: model fallbacks, adaptive thinking, an allowlist of plugins pinned to exact versions, DM allowlists plus pairing, gateway on loopback. If you follow the docs you land there in an afternoon. What surprised us is that basically everything we've *actually* spent time on over the past months isn't in any doc — it's operational scaffolding we only built because the agent kept finding new ways to fail quietly. Sharing the list because I suspect other people rebuilt the same things independently: **Watchdogs for the failure modes that produce silence.** The dangerous failures aren't crashes, they're the ones where nothing happens and nobody notices: an auth state that wedges until restarted, a subagent that finishes but whose result never wakes the parent session, an inbound message that gets dropped before the model ever sees it, a session idling in a weird state. Each of those cost us a "why didn't you answer for 25 minutes" before it got its own watchdog. **A filter for meta-leakage.** LLMs narrate themselves. Without a guard in the reply path you eventually ship "I'll now send the report to the user" *to the user*. One filter, permanently useful. **An action journal via a PreToolUse hook.** Every destructive or infra-writing command gets appended to a log before it runs. Context gets compacted, sessions reset, summaries lose detail — the journal doesn't. When something is broken at 2am the first question is "what did the agent actually do", and memory is not

Saved ~$200 on subscriptions this weekend with SubHaggle, a @bot that reads my credit-card expenses, flags renewals, and drafts cancel/pause/downgrade counters (never sends without my yes). Get Grok Bot: https:// x.ai/botStart from the public template: https:// x.ai/bot/marketplac e/bots/haggle-botThen …