DemoGPT

https://docs.demogpt.io

[{"step":"Define the Agent's Purpose and Scope","action":"Clearly outline what the agent should accomplish (e.g., 'handle customer support queries' or 'automate data entry tasks'). Use DemoGPT’s Agent Builder to set the primary goal, constraints, and success metrics. For example, specify if the agent should escalate complex issues or provide real-time data from external tools.","tip":"Start with a narrow scope (e.g., 'handle FAQs for product X') before expanding to broader use cases. Use DemoGPT’s 'Agent Evals' to draft test scenarios that validate the agent’s performance against your goals."},{"step":"Configure the Model and Tools","action":"Select the appropriate OpenAI model (e.g., GPT-4o for balance of speed and accuracy, or GPT-4-Turbo for reasoning-heavy tasks). Integrate necessary tools via DemoGPT’s tool library (e.g., web search for real-time info, file retrieval for static documents, or MCP connectors for CRM/data APIs).","tip":"Use the 'Tool Search' feature in DemoGPT to find pre-built connectors for common services (e.g., Salesforce, Zendesk). For custom tools, leverage the 'Skills' framework to define input/output schemas and error handling."},{"step":"Set Agent Behavior and Safety Parameters","action":"Configure the agent’s tone, constraints, and safety filters using DemoGPT’s 'Agent Builder' interface. Define rules for escalation, data privacy (e.g., PII redaction), and compliance with industry standards (e.g., GDPR). Test the agent’s responses to edge cases (e.g., abusive language, out-of-scope queries).","tip":"Enable 'Trace Grading' in DemoGPT to automatically flag unsafe or off-brand responses. Use the 'Prompt Optimizer' to refine the agent’s instructions based on initial test runs."},{"step":"Deploy and Test the Agent","action":"Choose a deployment option (e.g., ChatKit widget for customer-facing apps, custom API endpoint for internal tools, or voice agent for call centers). Use DemoGPT’s 'Deployment' tab to generate the necessary code snippets or embeddable widgets. Conduct A/B testing with a small user group to gather feedback.","tip":"Start with a 'shadow mode' deployment where the agent runs in parallel with human agents but doesn’t interact with users. Monitor performance metrics (e.g., response time, accuracy) using DemoGPT’s built-in analytics dashboard."},{"step":"Optimize and Scale","action":"Use DemoGPT’s 'Agent Evals' and 'Trace Grading' tools to identify areas for improvement. Fine-tune the model or adjust tool configurations based on real-world usage data. Scale the agent to additional use cases or regions by cloning the existing setup and customizing it for new contexts.","tip":"Leverage OpenAI’s 'Fine-Tuning' API for domain-specific improvements (e.g., training on company-specific documentation). Enable 'Prompt Caching' to reduce costs for high-frequency queries (e.g., order status checks)."}]