Microsoft Agent Framework is a framework for building AI agents and multi-agent workflows in .NET, Python, and Go. It provides agents that use LLMs to process inputs, call tools and MCP servers, and generate responses, plus functional and graph-based workflows that connect agents and functions through explicit execution paths. It includes model clients, agent sessions, context providers, middleware, and MCP clients.
Exploring Multi-Persona Prompting for Better Outputs
A blog post summarizing a University of Illinois study on solo performance prompting (SPP), a prompt engineering method in which an LLM summons multiple personas that collaborate on a task. The post describes the SPP prompt structure and reports on three experiments: Trivia Creative Writing, Codenames Collaborative, and Logic Grid Puzzle.
Features
- They call it solo performance prompting (SPP) Source: www.prompthub.us
Uses
- Trivia Creative Writing, Codenames Collaborative, and Logic Grid Puzzle Source: www.prompthub.us
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0Microsoft Agent Framework is a framework for building AI agents and multi-agent workflows in .NET, Python, and Go. It provides agents that use LLMs to process inputs, call tools and MCP servers, and generate responses, plus functional and graph-based workflows that connect agents and functions through explicit execution paths. It includes model clients, agent sessions, context providers, middleware, and MCP clients.
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0Seventh Sense provides AI email orchestration and performance management for HubSpot and Marketo, including per-person send-time optimization, deliverability monitoring and audience recycling. It surfaces per-inbox-provider performance and engagement data, with a free start using synthetic data or a connected account.
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