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What Makes an Agent Swarm Actually Work

For most of the past two years, multi-agent work meant one orchestrator handing tasks to sub-agents — a delegation pattern, not a swarm. Something changed recently with the OpenAI Astra…
Posted by Giuseppe Basile September 7, 2026
Posted inNews

GPT-6 Astra: Reading Past the Benchmark Saturation

When the Scoreboard Runs Out of Room For the past few years, researchers and practitioners have tracked frontier model progress through a handful of benchmark suites — ARC-AGI for reasoning,…
Posted by Giuseppe Basile September 7, 2026
Posted inBlog

The Work Behind the Work: How Agent Capability Expands Real Choice

Most decisions do not die from a definitive "no." They die from a quieter thing: the cost of finding out. A household move is a good example. The paperwork, the…
Posted by Giuseppe Basile September 7, 2026
Posted inNews

Astra Arrives: A First Look at GPT-6 Across Benchmarks, Alignment, and Early Demos

OpenAI's newest frontier model, GPT-6 — branded Astra — has begun rolling out to paying users and API customers. After a delayed release attributed to additional alignment work, the numbers…
Posted by Giuseppe Basile September 6, 2026
Posted inBlog

The Work Came Back Finished: How to Check Autonomous AI Output

Not long ago, working with AI meant watching it work. You submitted a prompt, it replied in seconds, and every step was in front of you. If it went wrong,…
Posted by Giuseppe Basile September 5, 2026
Posted inBlog

Agents Started Prompting Each Other

For those would put some serious thoughts and time to agent work, the loop looked like this: write a prompt, send it to an agent, watch what came back, adjust.…
Posted by Giuseppe Basile August 27, 2026
Posted inBlog

Combine Compute, Don’t Choose It: What Multi-Model Harnesses Make Possible

For a long time, the standard advice when adopting AI tooling was straightforward: pick the best model for your use case and use it consistently. That made sense when releases…
Posted by Giuseppe Basile August 27, 2026
Posted inBlog

You Bought the Agent to Get Time Back. Here Is Why Your Calendar Filled Up Instead.

When the first wave of AI assistants arrived, the mental model was straightforward: delegate a task, get time back. Agents were supposed to be the escalation of that promise —…
Posted by Giuseppe Basile August 23, 2026
Posted inBlog

When Code Generation Became the Easy Part

A couple of years ago, the conversation in AI-assisted engineering centered on a simple question: can the model write code that actually works? Hallucinations, wrong APIs, logic errors — the…
Posted by Giuseppe Basile August 22, 2026
Posted inBlog

Cost Per Accepted Result To Comparing AI Models

In the early stages of the agentic-AI era, is easy to assume that the most important aspect  about a model is: how good is it? The answer still shapes decisions:…
Posted by Giuseppe Basile August 22, 2026

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Recent Posts

  • Why AI Agents Need Million-Token Context — Thomas Wolf & Olive Song, MiniMax
  • What Makes an Agent Swarm Actually Work
  • GPT-6 Astra: Reading Past the Benchmark Saturation
  • Code Mode: Why AI Agents Are Moving from Tool Calls to Code
  • The Work Behind the Work: How Agent Capability Expands Real Choice

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