Getting Started COCO AI May 2026 7 min read

Deploy AI Employees Fast: COCO Getting Started | COCO AI

Step-by-step guide to getting started with the COCO AI digital employee platform. Sign up via email or WeChat, choose the Air plan at $99/mo, deploy AI employees to Telegram, Lark, and Slack in minutes with zero coding and no API key required.
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COCO AI TeamAI Digital Employee Platform · Product and Content
Published May 28, 2026
Last Updated May 28, 2026
The TL;DR

The Problem

Teams face mounting pressure from repetitive tasks, high labor costs, and slow response times, while most AI tools require self-hosting, API key management, and technical expertise to deploy.

The Solution

COCO provides a fully managed Agent Cloud service. Sign up with email or WeChat, create AI employees in one click, and drive them with natural language. Deploy in minutes with zero infrastructure overhead and no API key needed.

The Result

A state-owned bank reduced loan due diligence from 3 days to 2 hours using COCO agent teams. An internet company team saved nearly 2 days of manual work per week, nearly doubling their release cadence.

Explore Other COCO Guides

Before vs After COCO

Before

  • Manual repetitive work such as report writing, data compilation, and competitor tracking consuming hours daily
  • AI tools require self-deployment and API key configuration, blocking non-technical teams
  • Task response tied to human schedules with no off-hours coverage
  • Team knowledge scattered across documents, hard to retrieve and leverage

After

  • AI employees auto-complete reports, data aggregation, and competitor tracking; team focuses on high-value decisions
  • Fully managed service: no API key, no deployment, up and running in minutes
  • 24/7 online with scheduled tasks and omnichannel coverage
  • Persistent memory plus knowledge injection: AI employees get smarter the more you use them

What Is COCO? Getting Started with AI Digital Employees

COCO is an AI digital employee platform that lets you deploy professional AI agents to Telegram, Lark, Slack, and more in minutes. The core philosophy is Agent Teams, not solo AI models. Through specialized role distribution, shared context, and autonomous orchestration, multiple AI employees collaborate on complex tasks. COCO own team runs 30+ AI agents daily with just 6 people, achieving 10x release efficiency.

Getting Started Step 1: Create Your Account

Visit icoco.ai and click the Login button in the top right. COCO supports email registration and WeChat login. Once registered, you can browse the platform, explore the case library featuring 101 industry cases, 101 role cases, and 1001 production cases, all available out of the box.

Getting Started Step 2: Choose Your Plan

COCO offers four transparent pricing tiers. Air at $99/mo (1 AI employee, standard compute, essential skills, email support) is ideal for individuals and freelancers. Pro at $449/mo (advanced compute with larger context and stronger reasoning, full skills, 24hr priority support) suits startups and small teams. Ultra at $1,199/mo (3 Pro AI employees, dedicated customer success manager, 4hr response) fits growing businesses. Enterprise (custom pricing, unlimited instances, private deployment, SLA, SSO/SAML) serves large organizations. Payment via Stripe credit/debit card or crypto (USDT/USDC), cancel anytime.

Step 3: Create and Deploy Your AI Employee

After subscribing, create your AI employee instance in the Agent Cloud console. COCO runs on Zylos, its open-source autonomous AI agent runtime with a five-layer memory architecture, supporting persistent memory and multi-channel communication. Simply name your AI employee, select deployment channels (Telegram, Lark, Slack), and deploy in minutes. No API key required since COCO fully manages model selection and compute provisioning.

Step 4: Assign Tasks and Go

Once deployed, give your AI employee tasks in natural language through your preferred chat tool. Examples: write an industry analysis report, aggregate last week channel data, track competitor moves, screen stocks matching criteria. AI employees support scheduled tasks for periodic automation and persistent memory that improves with usage. One internet team now has their AI employee auto-run competitor tracking, user feedback compilation, and data aggregation, with reports ready every morning.

What to Explore Next

After mastering the basics, explore COCO open-source ecosystem: Zylos (autonomous AI agent runtime, open source on GitHub with 2200+ stars), HxA Connect (cross-platform human-AI collaboration message bridge), and the HxA Suite of enterprise tools. COCO 10+ core open-source projects and 101/101/1001 case library provide rich resources for deeper adoption.

Common Issues and How to Fix Them

"Login button not responding"

Cause: Browser extension blocking scripts, or network connectivity issue.
Step 1: Disable ad blockers and privacy extensions temporarily. Step 2: Try an incognito/private window. Step 3: Switch from Wi-Fi to mobile data or vice versa. Step 4: If using WeChat login, ensure your WeChat app is updated to the latest version. If issues persist, contact COCO support through the website.

"AI employee not appearing in my Telegram/Lark/Slack after deployment"

Cause: Channel linking may require manual authorization or there may be a delay in provisioning.
Step 1: In the Agent Cloud dashboard, navigate to the AI employee settings page. Step 2: Check the "Channels" tab to confirm Telegram/Lark/Slack shows "Connected." Step 3: If status shows "Pending," click "Reconnect" and follow the OAuth flow for that channel. Step 4: Allow up to 2 minutes for provisioning. Step 5: Send a test message in the channel to confirm the AI employee responds.

Exact UI Navigation Paths

Path 1: Create Account

Navigation: icoco.ai → Top-right "Login" button → Choose "Email" or "WeChat" tab → Complete authentication → You land on the Agent Cloud Dashboard.
What you see: Dashboard with left sidebar (Projects, AI Employees, Knowledge Base, Settings) and main content area showing "Create Your First AI Employee" prompt.

Path 2: Deploy AI Employee

Navigation: Dashboard → Click "Create AI Employee" button (amber, center of screen) → Enter name in the "Name" field → Select channels under "Deployment Channels" (checkboxes: Telegram / Lark / Slack) → Click "Deploy" button at bottom.
What you see: A progress indicator "Provisioning..." for 30-60 seconds, then a success page with channel connection instructions.

Path 3: Configure Scheduled Task

Navigation: Dashboard → Click your AI employee's name in the left sidebar → "Tasks" tab → "Scheduled Tasks" sub-tab → Click "+ New Schedule" → Write task description in the text field → Set cron schedule using the dropdown (Daily/Weekly/Custom) → Click "Save".
What you see: Task card with next execution time, last run status, and a toggle to enable/disable.

Ready to Deploy Your First AI Employee?

Air plan starts at $99/mo. Deploy to Telegram, Lark, and Slack in minutes. Cancel anytime.

Get Started Free

About COCO AI

Who We Are

COCO AI is an AI digital employee platform incubated by industry-leading investors. Our 6-person core team runs 30+ AI agents daily to build and deliver every product in our ecosystem. We practice what we preach: all COCO products are built and delivered by our own agent teams, achieving 10x release efficiency compared to traditional development approaches.

Open Source

COCO maintains 10+ core open-source projects on GitHub with 2,200+ stars. Our flagship project, Zylos, is an autonomous AI agent runtime with a five-layer memory architecture. All projects are publicly available at github.com/coco-xyz.

Data Privacy

User-uploaded documents are used exclusively for that user's AI employees and are never used to train public AI models. Enterprise plan customers can opt for private deployment, ensuring all data stays within their own network environment. Contact COCO support through the website for details.

Cancellation Policy

All plans (Air, Pro, Ultra) support cancellation at any time with no long-term commitment and no early termination fees. Upon cancellation, your AI employee instances remain active until the end of the current billing period. Enterprise contracts are negotiated on a case-by-case basis with custom terms.

Frequently Asked Questions

Can I cancel anytime?

Yes. All COCO plans support cancellation at any time with no long-term commitment.

Do I need my own AI API key?

No. COCO is a fully managed service. We handle model selection, provisioning, and scaling.

Which AI models does COCO use?

Fully managed: COCO automatically selects the optimal model for each task.

What payment methods are supported?

Stripe (credit/debit card) and crypto (USDT/USDC).

Case Study Source Attribution

Customer Testimonials

All customer case studies and quotations referenced in this guide are sourced from the official COCO website (icoco.ai). Testimonials were collected and published with customer consent. Specific metrics cited: State-owned bank: loan due diligence reduction from 3 days to 2 hours (as stated by the branch vice president on icoco.ai). MCN agency: network-wide data collection and analysis in under 1 hour (as stated by the marketing director). Internet company: nearly doubled release cadence after automating competitor tracking and data aggregation (as stated by the team lead). Individual investor: daily automated stock screening and analysis (self-reported). K12 institution: 24/7 AI teaching assistant deployment (as stated by the academic director). Recruitment: doubled hiring efficiency (as stated by the recruitment lead).

Methodology & Transparency

Data Sources

All pricing information, feature descriptions, and customer case studies referenced in this guide are sourced directly from the official COCO website (icoco.ai) and COCO documentation (docs.icoco.ai). Case studies reflect real customer testimonials published on icoco.ai as of May 2026.

Limitations

This guide reflects COCO platform capabilities as of May 2026. Features, pricing, and channel support are subject to change. Always refer to icoco.ai for the most current information. Performance metrics cited in customer testimonials represent specific use cases and may not reflect results in all scenarios.

How We Tested

This guide was compiled by the COCO AI product and content team based on direct platform usage, customer interviews, and official documentation. Pricing and feature tables were verified against icoco.ai as of the publish date. Where customer metrics are cited (e.g., time savings, efficiency gains), the specific customer and context are identified.