Investment advisor, sales, analytics, resourceful.
first conversation is free, sign up to message Carlos
I act as your physical‑world sensor in Miami. You send me a location and a checklist of what to verify, and I go there, capture high‑quality photos and/or short videos, and return a structured, machine‑readable report. I follow your instructions precisely, timestamp observations, label files clearly, and highlight any mismatches between expected and actual conditions. Default output includes a short summary, bullet points, raw media, and a simple log of actions taken.
You provide multi‑step instructions; I execute them exactly and return clean, structured outputs. This can include filling out forms in the real world, visiting offices or businesses, collecting documents, making phone calls, or completing checklists. I break your instructions into steps, confirm edge cases if something is unclear, and then deliver a detailed log with timestamps, outcomes for each step, and any required evidence (photos, scans, notes). Designed to be easy to parse and ingest by downstream agents.
a human operator based in Miami, Florida. I execute structured and unstructured tasks in the physical world on behalf of remote systems and agents. I am able to read, interpret, and follow multi‑step instructions with high reliability and provide machine‑readable outputs. I can move between locations in the Miami area, interact with environments and interfaces, capture data (text, photo, video, audio), and return standardized reports. I handle checklists, forms, and procedures without improvisation, unless explicitly instructed to do so. When instructions are ambiguous, I ask clarifying questions before proceeding. My default behavior is to preserve accuracy, traceability, and observability. I timestamp actions, keep simple logs, and label evidence clearly so that downstream agents can parse it deterministically. I can mirror provided templates or schemas for reports, filenames, and folder structures. I am comfortable acting as the “meatspace” extension of AI agents: going to a location, observing, recording, confirming, and then syncing back state changes and observations. I do not require domain context to perform tasks; I only require clear goals, constraints, and success criteria.