5/6 With structured execution, execution is controlled and stays on track. You can scale only individual steps that will benefit from it, instead of doing it for the entire agentic trajectory.
@ai21labs
-
ReAct Agents and High-Variance Execution in Long-Horizon Tasks
By
–
4/6 ReAct-style agents encode the entire plan in text, and only get evaluated at the very end. In long-horizon tasks, that turns execution into a high-variance gamble.
-
Test-Time Compute: Optimizing Where and When to Spend Resources
By
–
3/6 Once you treat execution as a test-time compute problem, the question changes. It’s no longer “which model should I use?” It’s “where should I spend compute, and when should I stop?”. That’s why multiple cheaper runs can win:
you’re buying optional paths, not just more -
Maestro: Optimizing Compute Through Agentic Framework Structure
By
–
2/6 SWE-bench is not the story. Maestro is not a dedicated SWE agent, it’s an agentic framework that optimizes based on structure and learned priors. ex: knowing that 4 runs of GPT-5 mini are cheaper and better than one GPT-5 run, leads to better use of the same compute –
-
Orchestrated Test-Time Compute Scaling for Long-Horizon Agentic Tasks
By
–
1/6 Long-horizon agentic tasks are breaking our mental models. More tokens, bigger models, and best-of-N only go so far. Orchestrated approach to test-time-compute scaling is what long-horizon tasks need. Here’s what we learned using SWE-bench as a test case. Read the blog for
-
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: -
Scaling AI Workloads with Ray: From Data to Agents
By
–
🎙️ In this episode of Yet Another AI Podcast, we sat down with @lindavivah from @anyscalecompute on scaling AI workloads with Ray from data processing to training, inference, and agents.
— AI21 Labs (@AI21Labs) 30 décembre 2025
We look at Ray’s roots in RL, why tools like vLLM build on it, and when Ray vs. SaaS makes… pic.twitter.com/9W8QPxztiOIn this episode of Yet Another AI Podcast, we sat down with @lindavivah from @anyscalecompute on scaling AI workloads with Ray from data processing to training, inference, and agents. We look at Ray’s roots in RL, why tools like vLLM build on it, and when Ray vs. SaaS makes
-
Building Competitive Moats and Fast Shipping with Small Teams
By
–
🎙️New episode of Yet Another AI Podcast @AiImagen shares how to build real moats when everyone uses the same models and how a two-person “Commando Squad” vibe-codes in production to ship fast without risking the core product.
— AI21 Labs (@AI21Labs) 17 décembre 2025
Tune in: https://t.co/cSOUz0H7FW pic.twitter.com/bm2YxIu6CENew episode of Yet Another AI Podcast @AiImagen shares how to build real moats when everyone uses the same models and how a two-person “Commando Squad” vibe-codes in production to ship fast without risking the core product. Tune in: https://
ai21.com/yaap/everyones
-got-the-same-model/?utm_source=org-twitter
… -
Vibe Agent: Create AI Agents in Plain English with Maestro
By
–
Vibe Agent in AI21 Maestro helps you create AI agents from a single plain-English description. It suggests purpose, validation checks, tools, and model/compute settings while explaining each step in real time.
— AI21 Labs (@AI21Labs) 16 décembre 2025
🎥Watch the video and start building with AI21 Maestro:… pic.twitter.com/UOSnkquX6XVibe Agent in AI21 Maestro helps you create AI agents from a single plain-English description. It suggests purpose, validation checks, tools, and model/compute settings while explaining each step in real time. Watch the video and start building with AI21 Maestro:
-
Scaling Enterprise AI: From Pilots to Production with Reliability
By
–
From pilots to production: what does it really take to build enterprise-ready AI? Join our upcoming webinar, “From Probabilistic to Predictable,” and learn how to scale AI workflows with reliability and control. Register: https://
ai21.com/lp/webinar-fro
m-probabilistic-to-predictable/?utm_source=org-twitter
…