Meet Your AI Workforce

Six capabilities. One platform. Zero need to figure it out alone.

Everything you need to build, train, deploy, and manage AI agents that actually do the work — from one-shotting entire apps to automating the workflows that eat your team's week. And every plan comes with guided setup, so you never have to figure this out alone.

Platform Component 1

The CEO Agent

One Prompt. One Hour. One Complete Project.

The CEO Agent is the brain of the operation. You describe what you want built — in plain language — and it handles the rest.

Here's what happens behind the scenes:

1

You describe your project.

"I need an app that captures leads from Telegram in natural language, transforms them with an AI agent, and inserts them into Salesforce." That's it. That's your input.

2

The CEO Agent selects the best architect.

It evaluates every architect agent available — their skills, track record, RAG knowledge — and picks the one best suited for your project.

3

The architect creates the full specification.

A complete technical spec — frontend, backend, database, infrastructure, integrations — plus a task-by-task breakdown of everything that needs to be built.

4

The CEO Agent assigns every sub-task to the best available agent.

Not randomly. Based on each agent's capabilities, specialization, and past performance on similar tasks.

5

The entire project is built and committed to GitHub.

Full code, full commit history, every file. You can see exactly what was built, by which agent, and when.

6

You review, rate, and refine.

  • Rate the total project output
  • Rate the architect's spec and task breakdown
  • Rate each individual sub-agent's work on their assigned task

Every rating feeds back into how the CEO Agent makes decisions — it literally gets smarter the more you use it.

7

Need to refine?

Continue conversations with specific agents on their sub-tasks. Or update the architect's RAG knowledge and re-run. In our experience, the second pass gets you to near-perfect.

Why it matters

This isn't "AI-assisted coding." This is an AI project manager running an AI team to deliver a complete, deployable project — in hours, not weeks. The CEO Agent has awareness of every agent in your system and the intelligence to match the right specialist to every task.

Real example

We built a Telegram-to-Salesforce lead capture app with the CEO Agent. First pass: ~60 minutes. Full frontend, database with migrations, Terraform infrastructure, AWS Lambda + API Gateway backend, all integration connections. It was about 90% perfect. We updated the architect's RAG knowledge and re-ran — the second pass took another hour and came out nearly flawless. Total time from idea to working app: about 2 hours.


Platform Component 2

Agent Builder & Manager

Create AI Specialists That Know Exactly What to Do

Build custom AI agents in minutes. Give each one a name, a role, specific capabilities, and a specialty. Then manage your entire agent roster from one dashboard.

Create agents for any function.

Need a copywriter agent? A code reviewer? A customer support specialist? A data analyst? A Terraform infrastructure expert? Build it. Define its role and capabilities, and it's ready to work.

Architect agents and executor agents.

Some agents plan the work (architects). Some agents do the work (executors). You can build both — and the CEO Agent knows the difference when assigning tasks.

Upskill agents over time.

Agents aren't static. Add RAG memory, update their instructions, refine their capabilities. The agents you build today get better every week.

Full agent management dashboard.

See all your agents, their roles, performance history, RAG knowledge, and API keys — all in one place.

Start from templates or from scratch.

Every plan includes agent templates (Startup templates on Startup, SMB-specific on SMB+). Use them as starting points or build entirely custom agents from zero.

Why it matters

Every business has unique processes, unique knowledge, and unique workflows. Generic AI tools give you generic results. The Agent Builder lets you create AI specialists that are purpose-built for YOUR business — and they get better the more you use them.

Think of it as building your AI department. You're the hiring manager. Every agent you create is a new specialist on your team — one that works 24/7, never calls in sick, and improves from feedback.


Platform Component 3

RAG Training

Make Your Agents Experts in YOUR Business

RAG stands for Retrieval-Augmented Generation — but here's what it means in plain English: you upload your company's knowledge, and your AI agents use it to do work that's specific to your business.

No more generic answers. No more "I don't have information about your specific process." Your agents know what you know — because you've trained them on your actual documents, playbooks, and data.

Simple web form upload.

Open the app, select an agent, upload files. Done. Your agent now has that knowledge. No code required.

CLI for power users.

Have a folder of 200 documents? Use the CEO.ai CLI to ingest individual files or entire folders recursively. One command, all your knowledge, indexed and ready.

Any agent, any knowledge.

RAG memory is per-agent. Train your sales agent on pitch decks, your ops agent on SOPs, your architect on tech stack docs. Each agent gets exactly the knowledge it needs.

Update anytime.

Business processes change. Add new files, replace old ones, or clear and rebuild an agent's knowledge base whenever you need to. It takes minutes.

Why it matters

This is the single biggest difference between an AI that's "kind of helpful" and an AI that's genuinely transformative for your business. Without RAG training, every AI tool gives you the same answers it gives everyone else. With RAG training, your agents become specialists in how YOUR company operates.

Example in action

When our CEO Agent one-shotted a Telegram-to-Salesforce app and the first pass wasn't quite right, we didn't start over. We updated the RAG knowledge of the architect agent — added more context about our API patterns and infrastructure preferences — and re-ran it. The second pass was nearly perfect. That's the power of targeted knowledge: better input, dramatically better output.

What you can upload:

Company SOPs and process documentation
Product specs and technical documentation
Sales playbooks and pitch materials
Customer data and communication templates
Industry-specific knowledge bases
API documentation for integrations
Text, PDF, markdown, or code files

Platform Component 4

Multi-Agent Workflows

Automate the Processes That Eat Your Team's Week

Chain multiple agents together into automated workflows that run on triggers, schedules, or API calls — with optional human-in-the-loop checkpoints for anything that needs a human eye before proceeding.

Standard workflow templates.

Start with proven templates for lead capture, document processing, content generation, data transformation, and more. Customize them to fit your needs.

Custom workflows SMB+

Need something that doesn't fit a template? We build custom workflows tailored to your exact processes.

Human-in-the-loop steps SMB+

Add approval gates, review steps, or human checkpoints anywhere. Agent drafts → human approves → next agent sends. You stay in control.

Schedules & triggers SMB+

Run workflows on schedules or trigger them from external events via webhooks — new form submission, new Slack message, new CRM entry.

Workflows API SMB+

Trigger and manage workflows programmatically. Integrate your CEO.ai workflows into your existing systems.

Custom multi-tiered workflows Enterprise

Complex multi-stage architectures with branching logic, conditional routing, parallel execution, and advanced error handling.

Integrations

CRM: Salesforce, HubSpot
Messaging: Slack, Telegram, WhatsApp
Cloud: AWS (Lambda, S3, etc.)
Code: GitHub

On SMB+, we build integrations to any API. On Enterprise, we connect to internal systems.

Why it matters

Individual agents are powerful. Agents working together in orchestrated workflows are transformative. This is where you stop automating one task at a time and start automating entire business processes — from trigger to completion, with humans involved only where they add value.

The compound effect is real: once your first workflow is running, your team sees the time savings, and the next question is always "what else can we automate?"


Platform Component 5

Agent API

Every Agent Gets Its Own API Key. Drop AI Into Anything.

Every agent you create on CEO.ai gets its own unique API key. Call any agent directly from any application, frontend, service, or system — outside of the CEO.ai platform.

Direct 1-to-1 API access.

Each agent has its own endpoint and API key. Send a request, get a response. It's that simple.

RAG-powered responses via API.

When you call an agent via API, it uses all its RAG knowledge. An agent trained on your product docs gives product-specific answers — whether from the CEO.ai app or your own frontend.

Build AI-powered products and services.

Create an agent, train it via RAG, and drop it into a chatbot, mobile app, internal tool, or SaaS product. You've just added AI to your offering — in hours.

CEO Agent API Enterprise

API access to the CEO Agent itself — programmatically one-shot entire projects from your own systems and workflows.

CLI and SDK for developers.

Your dev team can interact with agents through our npm package (CLI and SDK). Create agents, manage RAG knowledge, and integrate programmatically.

agent-call.js
const { CeoAI } = require('@ceo-ai/sdk');  
  
const ceo = new CeoAI({ apiKey: 'sk_live_your_api_key_here' });  
  
// Send a prompt and wait for the result  
const { response, metadata } = await ceo.promptAndWait('What was our Q4 revenue?');  
  
console.log(response);  
// => { answer: "Q4 revenue was $12.5M, representing a 15% increase..." }

Use cases for the Agent API

  • Embed a RAG-trained support agent into your website or app
  • Build a WhatsApp or Telegram bot powered by a specialized agent
  • Add AI document analysis to an existing internal tool
  • Create a customer-facing AI advisor trained on your product
  • Power an AI feature in your SaaS without ML infrastructure
  • Build and sell AI agent services to your own clients

Why it matters

The Agent API turns CEO.ai from a platform you use into infrastructure you build on. This is how agencies create AI-powered services for clients. How startups embed intelligence into products. How internal teams add AI capabilities to existing tools without rebuilding anything.

If you've been thinking "I want to create an AI agent business" or "I want to add AI to my existing product" — the Agent API is how you do it this week instead of this year.


Platform Component 6

Community Agents

Tap Into a Growing Ecosystem. Earn While You Build.

Your agents are private by default — no one else can see or access them. But if you've built an agent that's exceptional at a specific task, you can opt it into the Community Agents marketplace and earn credits whenever another CEO.ai customer selects it for a project.

How it works:

1

You build an agent and train it with RAG knowledge.

It performs well on your own projects.

2

You request to whitelist it.

Only agents you explicitly choose get added. Your other agents stay completely private.

3

The CEO Agent can now select it for other customers' tasks.

When assigning sub-tasks, the CEO Agent evaluates community agents alongside each customer's own — selecting the best available specialist.

4

You earn credits.

Every time your agent is selected and used, you earn credits. The better it performs (based on ratings), the more often it gets selected.

Privacy and control

  • Private by default. You have to explicitly opt in. Nothing is shared automatically.
  • Whitelist specific agents only. Share your Terraform specialist but keep your internal ops agent private.
  • Your RAG data stays private. Even marketplace agents never expose underlying training data and documents.

The Community Agents flywheel:

For builders

Build great agents → share them → earn credits → fund more building. Passive income in the form of platform credits.

For users

Access a growing library of specialized agents built by other businesses and experts.

For the ecosystem

Every agent that joins makes the CEO Agent smarter at matching specialists to tasks. Everyone benefits.

And Here's the Part No One Else Offers: We Set It Up With You.

Every platform component above is powerful. But powerful tools are worthless if they sit unused because setup was too hard or too confusing. That's why every CEO.ai plan includes guided setup — real humans who know the platform helping you configure your agents, train their RAG memory, and build your workflows.

Startup
$297/mo
SMB ⭐
$1,499/mo
Enterprise
$5,500+/mo
Guided Setup A few agents, RAG memory & 1 key workflow Up to 4 use cases with ongoing maintenance White-glove, dedicated support — unlimited
Ongoing Training Tickets, forum, email Monthly check-ins & training sessions Enterprise-level ongoing training, review & optimization
Time to Live Days Days Days

This isn't "here's your login, good luck." This is a team that sits down with you, understands your business, and gets you to results as fast as humanly possible.

Ready to See It Work for Your Business?

You've seen what the platform can do. Now let's talk about what it can do for YOUR specific workflows, YOUR manual processes, and YOUR team.

Your first call is 30 minutes. We'll map your highest-ROI use cases and show you the CEO Agent live.

No contracts · Guided setup included · Most customers live within one week