signals
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Latest Signals
- Anthropic's 186-Deal Experiment Shows What the Agent Economy Actually Looks Like
- When NOT to Use an Agent: The Production Data That Should Change Your Default
- Why Multi-Agent Papers Don't Replicate in Production
- Multimodal Agents Score 40% Where Humans Score 72%
- 2026 Is the Year of the Agent. Here's What the Data Actually Says
From the team behind Swarm Signal
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When Agents Meet Reality: The Friction Nobody Planned For
[Klarna's AI assistant](https://openai.com/index/klarna/) handled 2.3 million customer service conversations in its first month, the equivalent work of...
When Models See and Speak: The Multimodal Agent Arrives
The best vision-language models can match human performance on many tasks. But ask them to fact-check a claim using visual evidence and they collapse:...
Why 76% of AI Agent Deployments Fail — And What the Survivors Do Differently
A researcher tracked 847 AI agent deployments through the first quarter of 2026. Within 90 days, 76% had experienced critical failures. After six months,...
Multi-Agent Systems Are Booming — But 76% of Deployments Fail Within 90 Days
The industry declared 2026 the year of multi-agent systems. Databricks reports 327% growth in multi-agent workflows across 20,000+ customers. Gartner...
Open Weights, Closed Minds: The Paradox of 'Open' AI
When researchers [examined 100+ language models](https://arxiv.org/abs/2502.18505) marketed as "open-source," they found a systematic pattern of omission....
The Prompt Engineering Ceiling: Why Better Instructions Won't Save You
On GPT-4o, structured prompting boosts performance from 93% to 97%. On GPT-5, OpenAI's frontier model, that same sophisticated prompting strategy...
Enterprise AI Pilots Have a 70% Failure Rate
S&P Global found 42% of companies abandoned most AI initiatives. MIT reports 95% of GenAI pilots deliver no measurable return. The technology works. The organizational machinery that carries pilots to production doesn't.
RAG Pipelines Are Silently Dropping Context
Your RAG pipeline retrieves the right documents. The LLM ignores half of them. The RAG-E framework found generators skip the top-ranked passage in 47-67% of cases. The retrieval-utilization gap is the real bottleneck.
Red Teams Found Agents Leak More Than Models
Red teams found agents are far more vulnerable than standalone models. Mixed attack strategies hit 84.3% success rates. Memory poisoning persists across sessions. Every tool is a potential exfiltration path.
Agent Reliability Scores Are Getting Worse, Not Better
SWE-Bench scores tick up every quarter, but production failure rates aren't dropping. A METR study found half of test-passing PRs wouldn't be merged. The more capable we make agents, the less reliably they behave.