Pantic AI Products & Features - Pantic AI supports temporal and other durable execution frameworks, with ongoing efforts to integrate more workflow orchestration backends [1] - Pantic AI offers tools for building AI agents, including the ability to perform web searches and analyze data [11][41] - Pantic AI's temporal agent handles the IO needed to call an LLM, including tool calls, by turning them into activities [16] - Pantic AI is developing a gateway for buying inference from various models, including observability features [61] Temporal & Durable Execution - Temporal is highlighted as a leading solution for durable execution, crucial for long-running workflows where progress preservation is essential [2] - Temporal records every activity and its inputs/outputs, enabling rerun from any point by plugging in the answers [15] - Temporal enables the resumption of workflows without adding resume code to the agent code [29] - Temporal's retry logic handles runtime errors and ensures continuous operation [22][25] Deep Research & Agent Architecture - Deep research is presented as analogous to a 20 questions game, with web search or RAG as intermediate steps [11] - The company is shifting towards viewing agents as micro-tasks that form larger autonomous task completion systems [40] - A deep research agent can be composed of multiple specialized agents, such as a plan agent, a search agent, and an analysis agent [41] Evaluation & Performance - Pantic AI evals are used to compare the performance of different models, considering factors like cost, speed, and accuracy [33] - Gemini was initially found to be faster and cheaper, but later discovered to sometimes invent incorrect answers [33][35]