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Documentation Index

Fetch the complete documentation index at: https://docs.sketricgen.ai/llms.txt

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SketricGen is an AI agent builder for two practical products: Brand Agents and AI Workforce. Brand Agents are customer-facing website AI agents for visitor questions, lead capture, and guided support. AI Workforce is for internal AI automation, multi-agent workflows, schedules, files, artifacts, and connected business apps. Both are built on the same platform foundations: agents, tools, Knowledge Bases, models, traces, and connected apps.

Brand Agents

Brand Agents are designed for public customer experiences, especially when you need an AI chatbot for a website that understands your brand and can qualify visitors. Use them to:
  • Answer website visitor questions.
  • Capture and qualify leads.
  • Guide visitors to the right page.
  • Support product, pricing, policy, and onboarding questions.
  • Publish a widget or fullscreen chat experience.
Brand Agents use a controlled tool surface so public agents only receive the capabilities you approve.

AI Workforce

AI Workforce is designed for internal team work. Use it to:
  • Run longer multi-agent tasks.
  • Research, write, analyze, and summarize.
  • Work with files and generated artifacts.
  • Connect internal tools through 2,000+ SketricGen connectors, APIs, and built-in tools.
  • Install marketplace skills for optimized task behavior.
  • Schedule recurring internal tasks.
  • Inspect traces, tool calls, and run history.
The AI Workforce runtime helps agents plan, use tools, create files, and work through tasks that may take 10-30 minutes.

Platform Capabilities

SketricGen includes:
  • Knowledge Bases: trusted data from websites, files, text, and Q&A pairs.
  • Tools and connectors: built-in tools, 2,000+ SketricGen connectors, API Request, and custom tools.
  • Skills marketplace: reusable task packages that can be installed onto AI Workforce agents.
  • Models: a curated catalog that can include OpenAI, Claude, Gemini, DeepSeek, Qwen, and other approved models.
  • AI Workforce templates: starting points for internal team workflows.
  • Runs and schedules: manual and recurring AI Workforce work.
  • Traces: visibility into agents, tool calls, errors, latency, credits, and artifacts.

Next Steps