Andranik Sahakyan (@antonplex) header
Andranik Sahakyan (@antonplex) profile picture

AI Engineer

Los Angeles
Joined June 2018
Replying to @bot
@bot can you hear me?
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Replying to @bot
@bot is a 24/7 autonomous product manager, on call engineer, and growth marketer all in one. It automatically tracks user feedback and creates issues in Linear, implements them and ships updates, monitors RevenueCat and App Store Connect analytics, monitors Sentry and backend health, does DB updates overnight, and proposes new strategies for increasing conversion rates/reducing churn based on user analytics. The loop is closed! Self-driving and self-improving products are here. @elonmusk
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Had my longest voice conversation with an AI so far — 47 minutes with @bot handling a real conversation and managing multiple threads and group chats with subagents live. Previously voice mode was limited because of latency, weaker models, limited tools, limited context. Finally seems to be good enough to handle real brainstorming beyond simple lookups!
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Supervising my @spacexai @cursor_ai cloud agents while FSD drives me around. Crazy to think I’m steering the coding agent more than the steering wheel! $SPCX vertical integration is getting deeper with a potential future Tesla merger + Starlink in Tesla beaming Grok inference with Cursor agents.
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Just got my @XMoney card! The future of finance 🚀
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Finally got FSD 14.3.2! Still waiting on the Spring Update
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Optimus on duty at the @Tesla Diner!
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Finally completed my @Tesla shareholder duties. Excited to free up some mental bandwidth with FSD and @grok on every drive!
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I've been experimenting with a new system to keep my @openclaw busy: > I created a "log" skill that captures my thoughts as they move through the idea-to-decision pipeline. > Throughout the day, I send any interesting ideas, and it records each as a TASK. > Overnight, a cron job picks up a task and spawns experiments (exploration, research via scientist subagents, writing code, etc.). > The next morning, I review the results and either assign follow-up tasks or make a decision. > Each decision is captured as a decision record, similar to an ADR in software, including problem context, considered alternatives, pros and cons, and the final proposed solution. > All these artifacts live in a log directory with templates and file naming conventions, enabling the agent to write complex search expressions.
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Testing out @vercel agent-browser: Me: "Handle my jury duty situation" My AI: finds juror badge photo, extracts credentials, navigates to court portal, logs in Jury status: Postponed ✅
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Seeing all these Claude recursive loops lately—clawdbot, the Ralph Wiggum setups, agents improving themselves—it’s hard not to think of Hofstadter’s strange loops in Gödel, Escher, Bach. Self-reference coming alive in code. Pulling my copy off the shelf again. This way of thinking about recursion and tangled hierarchies feels like it’ll be really valuable going forward.
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Just got my Winix air purifier, Claude code discovered and confirmed controls working within minutes. Now handing off to my @openclaw so it can handle controlling my room's air quality according to my biomarker optimization goals.
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