Blog/Product

How to Build Custom AI Workflows and Agents

Product
5 min read
2025-11-27
How to Build Custom AI Workflows and Agents

Most businesses run on a collection of tools—CRMs, analytics platforms, marketing software, project management systems. The challenge isn't having these tools. It's getting them to work together.

Traditional automation platforms ask you to become a part-time developer. You map fields, debug API calls, handle authentication, and maintain brittle connections that break whenever a service updates its API. Even simple workflows can take hours to set up and require ongoing maintenance.

A Different Approach

Hyper introduces a fundamentally different model for workflow automation. Instead of manually configuring each step, you describe what you want to accomplish. An AI agent interprets your request, understands the context, and generates a complete workflow—with all the necessary API connections, data transformations, and error handling.

The entire process takes about 30 seconds.

Once generated, you can test the workflow immediately. If something doesn't work as expected, you can refine it through natural language. The agent adapts based on your feedback, making adjustments until the workflow performs exactly as you need.

What This Enables

Consider a typical business need: aggregating marketing performance data from multiple ad platforms into a single dashboard.

With traditional tools, you'd spend hours setting up connections to Meta Ads, Google Ads, and TikTok Ads, mapping dozens of fields, formatting data for consistency, and writing formulas to calculate derived metrics. Then you'd set up a schedule to refresh this data daily.

With Hyper, you describe the requirement: "Pull spend and performance data from our Meta, Google, and TikTok ad accounts, normalize it, and update a Google Sheet daily."

The agent generates a workflow that handles all of this—API authentication, data extraction, transformation logic, scheduling, and error handling. You review it, test it, and it runs.

Real-World Applications

Teams use this capability for workflows across their operations:

Support Operations: Monitoring customer communication channels for high-priority keywords, automatically escalating urgent issues to the right team members while maintaining a searchable log.

Team Communication: Aggregating completed work from project management tools, generating weekly summaries of what shipped, and distributing updates to the relevant channels.

Data Integration: Synchronizing customer records across CRM, analytics, and marketing platforms, ensuring consistency without manual CSV exports and imports.

The common thread: tasks that require coordination across multiple systems but don't need human judgment for execution.

How It Works

Hyper workflows can use traditional tool nodes—direct API calls with structured parameters—or agent-powered steps that handle complex logic dynamically.

For straightforward operations like "update this record" or "fetch this data," tool nodes work efficiently. For tasks that require interpretation, like "extract the key points from this email thread" or "determine if this customer qualifies for this segment," agents apply reasoning to make those determinations.

You choose the right approach for each step. Or let the system choose for you.

Technical Accessibility

This approach makes workflow automation accessible regardless of technical background. You don't need to understand OAuth flows, REST API specifications, or data transformation syntax. You describe the business logic, and the system handles the technical implementation.

For technical teams, this accelerates development. Instead of spending hours on boilerplate integration code, you describe the workflow logic and refine the generated implementation. The underlying code remains fully visible and modifiable if you need to make advanced customizations.

From Hours to Minutes

The shift from manual configuration to natural language generation changes the economics of automation. Workflows that previously required significant upfront investment to build and maintain become quick to create and adapt.

When a workflow takes 30 seconds to generate, the calculus around what's worth automating changes completely. Tasks that would barely justify the setup time with traditional tools—weekly reports, routine data syncs, periodic notifications—become trivial to automate.

This creates a compounding effect. As you automate more routine operations, your team gains bandwidth to focus on work that requires human judgment and creativity.

Getting Started

Hyper offers multiple ways to build workflows, depending on your preference:

Chat Interface: Simply describe what you need in the chat on your home page. The agent will build the workflow for you and set it up automatically.

Workflow Builder with Agent: Navigate to the workflows section and work alongside an agent to design and refine your automation step by step.

Visual Editor: Use the drag-and-drop interface to build workflows visually, with full control over every node and connection.

Most teams start with chat—it's the fastest path from idea to working automation. Describe the task in plain language, review what gets built, test it, and deploy. The technical implementation happens automatically.


Ready to automate your first workflow? Connect your tools and describe what you need. If you can explain the task, Hyper can build the automation.

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