Puzld.ai is a multi-LLM orchestration framework that enables agentic execution, memory, and training data generation. It benefits operations teams by automating complex workflows and integrating with AI agents like Claude. The framework connects to various LLMs and tools, streamlining business processes and enhancing productivity.
git clone https://github.com/MedChaouch/Puzld.ai.gitPuzld.ai is a multi-LLM orchestration framework that enables agentic execution, memory, and training data generation. It benefits operations teams by automating complex workflows and integrating with AI agents like Claude. The framework connects to various LLMs and tools, streamlining business processes and enhancing productivity.
["Define the workflow: Start by mapping out the exact steps of the process you want to automate (e.g., data ingestion, validation, document generation, notifications). Use Puzld.ai’s visual workflow editor or YAML configuration to outline the sequence.","Configure integrations: Connect Puzld.ai to the necessary tools and APIs (e.g., Salesforce, SharePoint, Slack) by providing authentication credentials and API endpoints. Use Puzld.ai’s pre-built connectors or custom webhook integrations.","Set error handling and fallbacks: Define how Puzld.ai should handle edge cases (e.g., API failures, invalid data) by configuring retry logic, fallback models, or human-in-the-loop interventions. Test these scenarios in a sandbox environment.","Deploy and monitor: Deploy the orchestration in Puzld.ai’s runtime environment, then monitor execution logs and performance metrics. Use Puzld.ai’s dashboard to track success rates, errors, and processing times. Iterate based on feedback.","Optimize with training data: If the workflow involves decision-making (e.g., document generation), use Puzld.ai’s memory and training data generation features to fine-tune the LLM models based on historical outputs or user feedback."]
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/MedChaouch/Puzld.aiCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
Use Puzld.ai to automate [WORKFLOW_NAME] for [TEAM_OR_DEPARTMENT]. The workflow involves [STEP_1], followed by [STEP_2], and concludes with [STEP_3]. Configure the orchestration to handle [EDGE_CASES_OR_ERRORS] and integrate with [TOOLS_OR_APIS]. Generate a step-by-step execution plan with error-handling strategies and success metrics.
Puzld.ai orchestration for automating the 'Customer Onboarding' workflow in the Sales Operations team has been successfully executed. The workflow consisted of three core steps: (1) **Data Validation** – Puzld.ai first validated the incoming customer data from Salesforce against the CRM’s required fields, flagging 12 records with missing or inconsistent data (e.g., invalid email formats or unpopulated account types). These were routed to a human reviewer for correction. (2) **Document Generation** – For the 88 valid records, Puzld.ai triggered the generation of personalized onboarding documents using a fine-tuned LLM model. The documents included a welcome letter, contract summary, and setup checklist, all generated in under 2 minutes per customer. (3) **Integration & Notification** – The generated documents were automatically saved to SharePoint, and a Slack notification was sent to the assigned account manager with a direct link to the folder. The entire process ran in 47 minutes for 100 customers, reducing manual effort by 70%. Error handling included retry logic for API timeouts and a fallback to a secondary LLM model if the primary model failed to generate a document. Success metrics: 95% automation rate, 0% data errors in final output, and 100% customer documents delivered within 24 hours of onboarding initiation.
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