AI Studio got a new UI component for Tools, directly in the prompt bar. In addition, the "Automatic Function Response" option is in the works. "Gemini automatically generates a response for each function call"
PROMPT ENGINEERING
-
Building High-Quality Deep Research Agents While Reducing Token Waste
By
–
🎙️ How do you make a high quality deep research agent without burning thousands of tokens?@tavilyai's Dean Sacoransky joins our host, @yuvalinthedeep on log-driven iteration, cutting wasted tokens, and improving quality section by section.
— AI21 Labs (@AI21Labs) 6 janvier 2026
Watch it here:… pic.twitter.com/sQDWlvV0xRHow do you make a high quality deep research agent without burning thousands of tokens? @tavilyai
's Dean Sacoransky joins our host, @yuvalinthedeep on log-driven iteration, cutting wasted tokens, and improving quality section by section. Watch it here: -
AI Wrapped 2025: Analyze Your ChatGPT and Claude Usage Patterns
By
–
AI Wrapped 2025 What did you actually use ChatGPT & Claude for this year? (Be honest) LangSmith Insights agent can analyze your conversation history and surface the patterns, trends, and weird clusters you didn't know existed Try on your data: https://
wrapped.langchain.com -
Sakana AI Agent Wins Optimization Contest Using Test-Time Inference
By
–
So proud of Team Sakana AI for pulling this off! We managed to get an agent to rank #1 in a difficult heuristic optimization contest. We did this by leaning heavily into test-time inference using a mix of frontier models. The agent spent about $1,300 in credits to autonomously
-
Primer on how Claude Code creator uses Claude Code
By
–
An amazing resource. A primer on how the creator of Claude Code is using Claude Code.
-
Guide autocomplete toggle for prompt engineering
By
–
*immediately goes to config to toggle the autocomplete for prompts* This is a great guide. Thanks.
-
AI Agents: Reasoning, Planning, and Tool Use for Goal Achievement
By
–
AI Agent = AI that reasons + plans + uses tools + acts to hit a goal.
Loop: goal → sense → plan → tool use → act → eval → memory → improve. Core parts: system prompt, tools/APIs, short- & long-term memory, adaptive traits. Shift: chatbots give answers; agents deliver -
All Prompts Work Across Any AI Generator
By
–
Oui en fait tous les promots qu'on trouve peuvent être utilisé sur tous les générateurs
-
AI tools collaboration in future orgs
By
–
I have Jules, Codex, Cursor and Claude Code working together on my team. All of them will have a job in AI-first orgs soon
-
Agent stacks outperform single models
By
–
Banger thread. Single-model supremacy is dead – the real alpha is in these purpose-built agent stacks that actually ship value instead of just flexing parameter counts. MoE routing + hierarchical planning + action-oriented LAMs is the stack that's quietly eating the world right