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ArielSmoliar/README.md

Hey, I'm Ariel 👋

I build AI products that ship.

Product leader, founder, and hands-on builder working where AI/ML meets real-world systems at scale - currently focused on cloud security and multi-agent orchestration.

LinkedIn · X · Email


Featured projects

LLM-first cloud log anomaly detection

Cloud anomaly detection for GCP Audit Logs and AWS CloudTrail, built for small security teams.

Visit Flare → · Evaluation case study → · Original X thread →

Cost firewall for AI agents

An open-source scheduler, budget circuit breaker, and cost-attribution layer for teams running agentic AI in production.

Landing page → · Docs → · GitHub → · PyPI →

Security skills for AI coding agents

Drop-in skill verification, cost tracking, tool authorization, behavioral anomaly detection, and pre-execution safety checks.

View on GitHub →

A private place for what matters

Save links, text, and screenshots in one calm library, then bring back the useful context, next move, or brief when it matters.

Visit the landing page →


Featured writing

Field notes from a month of using two AI coding agents together: the quiet bugs a second model caught, why model disagreement is useful, the metric I started tracking, and where cross-model workflows still fall short.

Read on GitHub →

How I use golden fixtures, source grounding, failure analysis, and regression testing to evaluate an LLM-first cloud-security product.

Read on GitHub →

A 20-seed simulation showing how one scheduling knob trades draining the deepest agent backlogs against fairness, including the point where a third of the agents starve.

Read on GitHub →

Hands-on stress tests of raw Google ADK across runaway loops, growing context, concurrent agents, shared state, and the production controls a managed platform still needs to provide.

How four Flare GitHub Actions extend cloud security from pre-merge checks through deployment verification, continuous monitoring, and incident investigation.


Recent work

  • Tab Review Marker - A free, local-first Chrome extension that adds To Review, Reviewed, and Needs Attention states directly to tab favicons, with notes and AI-ready exports.
  • OpenClaw Daily Spending Allowances - Proposed a consumer-friendly, Screen Time-style spending allowance for unattended AI agents, with plugin-owned policy and a privacy-conscious cost-and-provenance contract for OpenClaw core. Awaiting maintainer product review.
  • Generate Runbook Skill - A portable Codex and Claude Code skill for creating safe, validated operational runbooks.
  • ADK Learning Guide - An interactive deep-onboarding guide to Google's Agent Development Kit, including a LOCO-Agent integration module.

Where I've been

  • Meta - Led the messaging developer platform, a billion-dollar-plus revenue opportunity spanning third-party APIs and Ads Manager. Built and shipped an LLM-augmented decision system and quality measurement at scale.
  • PlanetWatchers - Founded a geospatial AI startup for monitoring natural resources at scale: deep learning research → production platform → revenue. Planet.com coverage →
  • Sumo Logic & AppDynamics - Built ML-powered observability products.

What I'm thinking about

  • AI-first threat detection that replaces rules-based SIEMs
  • The economics and orchestration of multi-agent systems
  • Turning frontier research into safe, interpretable production AI

Research


Let's talk

I'm always up for conversations about AI in security, observability, multi-agent systems, and the applied AI ecosystem.

LinkedIn · X · Email me

Pinned Loading

  1. loco-agent loco-agent Public

    Load-aware scheduling layer for multi-agent systems. Routes tokens to the highest-value work, tracks spend across every agent, and self-tunes as workloads shift. One equation, any framework.

    Python 3

  2. safe-agent safe-agent Public

    Security skills that make AI coding agents safe to run. 5 drop-in skills: skill verification, cost tracking, tool authorization, behavioral anomaly detection, and pre-execution safety.

    Shell 1