Tagged articles

Plan-and-Solve

3 articles · Page 1 of 1

Jul 26, 2026 · Artificial Intelligence

How to Cut Agent Token Bills: Technical Strategies to Tame Soaring Inference Costs

The article analyzes why AI agents' token consumption escalates—due to stateful execution, ReAct loops, and Plan‑and‑Solve architectures—and examines real‑world cases of massive token burn before presenting emerging model‑side budgeting, routing, and prompt‑compression techniques to reduce costs.

AI AgentsCost ReductionMulti-Agent

0 likes · 7 min read

How to Cut Agent Token Bills: Technical Strategies to Tame Soaring Inference Costs

AI Step-by-Step

Apr 24, 2026 · Artificial Intelligence

Revisiting Core Agent Patterns: ReAct, Plan‑and‑Solve, and Tree of Thoughts

The article analyzes why simple ReAct loops fail on long‑chain business tasks and explains how Plan‑and‑Solve, Tree of Thoughts, and Graph of Thoughts add planning, search, and state‑machine layers to make complex agents reliable, auditable, and cost‑controlled.

AI planningAgentGraph of Thoughts

0 likes · 14 min read

Revisiting Core Agent Patterns: ReAct, Plan‑and‑Solve, and Tree of Thoughts

Qborfy AI

Mar 31, 2026 · Artificial Intelligence

Mastering AI Agents with the Plan-and-Solve Design Pattern

The article introduces the Plan-and-Solve design pattern for AI agents, explaining how separating planning and execution improves handling of complex tasks, compares it with ReAct, provides detailed workflow diagrams, concrete examples such as weekly report generation, and offers a full Python implementation with dynamic replanning and result aggregation.

AI AgentsAgent designLLM

0 likes · 14 min read

Mastering AI Agents with the Plan-and-Solve Design Pattern