🤖 Fake Software Company Run Entirely With AI Agents

👔Fake Software Company Run Entirely With AI Agents

🕹️Google’s Gemini 2.5 Pro Plays Pokémon Blue!

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We interact with computers on a daily basis, and many aspects of our everyday workflows depend on them. What if computers didn’t need us to operate them? That’s where AI Agents come in.

AI Agents are like virtual employees who can autonomously plan, execute, and refine their actions. So, what does that mean?

Unlike rule-based programs, like a Spam Filter that relies on a predefined set of rules to classify incoming emails as either “Spam” or “Not Spam,” AI Agents analyze digital environments in real-time to plan, execute, and adapt.

Anthropic just started releasing AI Agents. For example, Computer Use (CU) uses a computer just like we do. But how effective is CU? Can it replace you?

TheAgentCompany was staffed with AI Agents from Meta, Google, OpenAI, and Anthropic. These AI Agents were plagued with a lack of common sense, weak social skills, and a poor understanding of how to navigate websites.

The best-performing AI Agent was powered by Anthropic’s Claude 3.5 Sonnet, which still struggled to finish just 24% of the assigned workflows.

Even this poor performance was shockingly expensive, costing $6.10 per step with an average of 30 steps per workflow.

Gemini 2.5 Pro is a multimodal AI model with reasoning capabilities across text, images, audio, video, and code. It’s designed to handle more complex problems that require multi-step reasoning.

It’s equipped with a hybrid reasoning engine that allows it to mimic a human’s decision-making capabilities and problem-solving capacity.

It leverages Chain-of-Though (CoT) techniques to break down complex problems into manageable sub-problems. Then, it solves each manageable sub-problem, combining them into a complete answer.

Gemini 2.5 Pro constantly captures the Game State: a current “snapshot” of the video game. Then, it generates a sequence of actions based on that current “snapshot” through commands like A, B, Up, Down, Left, Right, Start, and Select.

Playing Pokémon Blue requires not only understanding the video game’s mechanics but also applying decision-making to craft strategies that adapt to the ever-changing Game State.

The ability of Gemini 2.5 Pro to continuously and effectively interpret the ever-changing Game State offers a compelling parallel to tackling intricate, real-world tasks.

Cluely closes a $5.3M Seed Round for invisible AI to cheat on meetings, conversations, or sales calls.

Ascertain raises a $10M Series A to reimagine operational workflows with Agentic AI.

Astronomer secures a $93M Series D to build, run, and observe data pipelines.

Conductor (New York City, NYC): AI Engineering Intern, Summer 2025

FanDuel (Atlanta, GA): Data Analyst, Entry-Level

Glassdoor (Austin, TX): Social Media Manager, Mid-Level

Discord (San Francisco, CA): Senior Data Engineer, Senior-Level