Runwork
All Use Cases

AI-Powered Apps

Build AI-native applications with ease

AI is transforming every industry, but building AI-powered applications requires specialized expertise. Runwork makes it easy to create apps with built-in AI capabilities. Chatbots, content generators, intelligent automation, and more.

The Challenge

  • LLM integration requires specialized knowledge
  • Managing API keys, rate limits, and costs is complex
  • Building good UX around AI interactions is hard
  • Prompt engineering is trial and error
  • Keeping up with rapidly evolving AI capabilities

The Runwork Solution

  • AI capabilities built into the platform. No integration needed.
  • Intelligent agents with automatic tool use and memory
  • Proven UI patterns for chat and AI interactions
  • Iterate on prompts and see results instantly
  • Platform evolves with AI advancements. You benefit automatically.

What You Can Build

Customer Support Chatbot

AI-powered support that knows your product and policies

Content Generation Tool

Generate marketing copy, emails, or documentation

Data Analysis Assistant

Natural language queries against your business data

Document Processing

Extract, summarize, and organize information from documents

Intelligent Search

Semantic search across your knowledge base or content

Workflow Automation

AI agents that take action based on triggers and context

Key Features for This Use Case

A Day in the Life

8:00 AM — Support queue. Your AI-powered support chatbot handled 47 customer inquiries overnight. It answered 38 automatically using your knowledge base, escalated 9 to human agents with full context attached. Support starts their day with warm handoffs, not cold tickets.

10:00 AM — Content creation. Marketing needs product descriptions for 20 new SKUs. Your content generation tool drafts them based on product specs and your brand voice. Marketing reviews and tweaks—20 minutes instead of 2 hours. The AI agent learned your tone from examples.

1:00 PM — Data analysis. The CEO asks about Q3 trends. Instead of building a report, you ask your data analysis assistant: "What drove our growth this quarter?" It queries your business data, surfaces the key factors, and generates visualizations. Insight in minutes.

3:00 PM — Document processing. Legal sent 15 contracts for review. Your document processing tool extracts key terms, flags unusual clauses, and summarizes each agreement. Your team reviews the summaries first, then dives into details where needed.

4:30 PM — Intelligent automation. A high-value lead filled out a form. Your AI workflow analyzed their company, enriched the data, scored the lead, and routed it to the right sales rep with a personalized outreach draft. From form submit to rep notification: 30 seconds.

Frequently Asked Questions

Do I need AI expertise to build AI-powered apps with Runwork?
No. Runwork's AI capabilities are built into the platform. You don't manage API keys, rate limits, or prompt engineering. Describe what you want the AI to do, and the platform handles the technical complexity. Focus on your use case, not the infrastructure.
What kinds of AI capabilities can I add to my apps?
Natural language chat interfaces, content generation, document analysis, semantic search, data analysis, and intelligent automation. AI agents can take actions based on triggers and context. Build chatbots, content tools, analysis assistants, and automated workflows.
How does AI agent memory work?
AI agents remember context within conversations and can access your business data. They understand your products, policies, and customers. When a support chatbot answers questions, it draws on your knowledge base. When an analysis agent queries data, it understands your business model.
Can I control what the AI does and doesn't do?
Yes. Define guardrails for AI behavior—what topics it handles, when to escalate, what actions it can take. Set boundaries and the AI operates within them. Full audit logging shows every AI action for review and compliance.

Related Use Cases

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