Multi-agent loop-until-done with critic system in CrewAI tackling investor update drafting in a sales ops context. Roles, handoffs, shared state, and supervisor logic.
Multi-agent loop-until-done with critic system in AutoGen tackling social media scheduling in a e-commerce context. Roles, handoffs, shared state, and supervisor logic.
Multi-agent loop-until-done with critic system in OpenAI Agents SDK tackling marketplace moderation in a gaming context. Roles, handoffs, shared state, and supervisor logic.
Multi-agent loop-until-done with critic system in Mastra tackling daily research briefing in a HR context. Roles, handoffs, shared state, and supervisor logic.
Multi-agent loop-until-done with critic system in Pydantic AI tackling daily research briefing in a SaaS context. Roles, handoffs, shared state, and supervisor logic.
Refactor an existing single-loop tool-calling agent for marketplace moderation into a swarm/handoff architecture using LangGraph. Focus: what to split, what to keep, what to evaluate.
Refactor an existing single-loop tool-calling agent for marketplace moderation into a router architecture using Haystack agents. Focus: what to split, what to keep, what to evaluate.
Refactor an existing single-loop tool-calling agent for marketplace moderation into a agent debate architecture using Mastra. Focus: what to split, what to keep, what to evaluate.
Refactor an existing single-loop tool-calling agent for marketplace moderation into a CodeAct (code as action) architecture using LangGraph. Focus: what to split, what to keep, what to evaluate.
Refactor an existing single-loop tool-calling agent for marketplace moderation into a Deep-Research pipeline architecture using Semantic Kernel. Focus: what to split, what to keep, what to evaluate.
Refactor an existing single-loop tool-calling agent for marketplace moderation into a loop-until-done with critic architecture using Pydantic AI. Focus: what to split, what to keep, what to evaluate.
Refactor an existing single-loop tool-calling agent for marketplace moderation into a ReAct (Reason+Act) architecture using CrewAI. Focus: what to split, what to keep, what to evaluate.