Your Digital Coworker: A Team of AI Agents at Work

When you interact with a digital coworker at CRE Agents, it might feel like you’re talking to a single, capable assistant. But behind that seamless interface is something much more sophisticated—a team of “AI agents”, each trained for a specific role or workflow, coordinated by a central orchestrating agent.

This structure mimics how high-performing teams work in the real world. You’ve got a project manager (the orchestrator), domain experts (specialized agents), and a suite of tools and access to data that help them execute efficiently. In the case of CRE Agents, those domain experts are AI agents, and their tools are powered by the best generative models available.

A Peek Behind the Curtain: Agentic Infrastructure

Think of the orchestrating agent as the “brain” of your digital coworker. It interprets your requests, breaks them down into individual workflows or tasks, and delegates each one to a specialized AI agent best suited for the job. These agents may:

Summarize documents
Draft memos
Analyze spreadsheets
Interpret plans
Convert speech to text
And much more

Each of these agents is powered by the generative AI model best suited for its task. At CRE Agents, we are model-agnostic—we use the best model for the job, weighing speed, cost, and success rate.

The Engine Room: LLMs and Other Generative AI Models

As of this writing, here are some of the generative AI models that might power components of your digital coworker:

Large Language Models (LLMs)

GPT-4.1 (OpenAI) – Excels in coding, instruction following, analyzing Excel files, and managing massive amounts of context.
Claude 3.7 Sonnet (Anthropic) – Great for decomposing instructions and nuanced dialogue.
Google Gemini 2.5 Pro – Designed for complex reasoning, math, science, and multimodal tasks.
Llama 4.0 (Meta) – Fast and efficient for lower-latency tasks.
Grok 3 (xAI) – Known for speed and stylistic flexibility in informal and social tasks.

Text-to-Speech (TTS)

PlayAI Dialog v1.0 – Realistic, dynamic speech generation at 140 characters per second.

Automatic Speech Recognition (ASR)

Whisper V3 Large – Transcribes audio 189x faster than real time for $0.111/hour.
Whisper Large v3 Turbo – Even faster and more affordable.
Distil-Whisper – Ultra-optimized for speed at scale.

Why Use a Team of Agents?

So, why use this team of agents approach? It comes down to efficiency, accuracy, and flexibility. By orchestrating multiple specialized agents, we can deliver faster results, fewer errors, and broader capabilities than a single monolithic model could ever manage alone.

Let’s say you ask your digital coworker to summarize a 90-minute joint venture negotiation call, compile the open items into a Word document, and email a formatted summary to the team. That’s not a single task; it’s a full workflow. And behind the scenes — though invisible to you — each step is handled by a different AI agent, each equipped with specialized tools, clear instructions, and powered by the generative AI model best suited for the job.

Model Advances That Are Making This Possible

The sophistication of these agents is made possible by the rapid pace of model development. Here are two recent examples—likely to be outdated within months, given how quickly generative AI models are evolving:

GPT-4.1 (OpenAI)

Released in early 2025, GPT-4.1 builds on its predecessors with major upgrades in instruction following and long-context processing. It can handle up to 1 million tokens of input, excels at producing structured outputs (a foundation of the CRE Agents platform), and reduces latency by half compared to GPT-4o—all while being significantly more affordable.

It’s already replacing previous versions across real-world software engineering, document analysis, and knowledge management tasks.

Gemini 2.5 Pro (Google DeepMind)

Launched just a few weeks ago, Gemini 2.5 Pro is Google’s most advanced “thinking model.” It leads benchmark performance in math, coding, and reasoning. Its native multimodal support means it can fluidly understand text, code, images, audio, and video—all in the same workflow.

And thanks to its 1 million token context window, it’s capable of making decisions with a deep understanding of prior inputs—perfect for orchestrated agentic systems like the ones CRE Agents builds.

What This Means for You

When you delegate a task to your digital coworker, you’re tapping into an infrastructure that rivals the complexity and capability of a small team of professionals. And just like in human teams, each member brings their own strengths to the table.

The good news? You don’t need to worry about any of that complexity. You just interact with one digital coworker. But know that behind the scenes, your requests are handled intelligently, efficiently, and with best-in-class AI.

As always, our goal is to free up your time so you can focus on what matters most—relationships, strategy, and closing deals. Want access to a CRE Agents digital coworker? Join our waitlist to be some of the first to leverage their capability.