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As AI product builders at companies like PayPal, H2O.ai, and through tools like PM Toolkit, we constantly face the challenge of evaluating multi-step agents. These agents don’t just produce a one-off AI kill switch answer; they perform a sequence of actions, call external tools, and make decisions at every step. Designing evaluations (evals) for such agents goes far beyond typical single-response model benchmarks. In this post, I’ll walk you through a structured approach

In the fast-paced world of business intelligence and product operations, the quality of decision support tools can make or break your workflow efficiency. Suprmind, a rising AI decision support tool, has made waves with its multi-model AI chat capabilities that go beyond the usual verbose, meandering answers. Instead of drowning under walls of text, savvy users now prompt Suprmind for clear, actionable decision trees that fit seamlessly into professional decision memos and

In today’s fast-paced business environment, finding the right AI-powered analysis workspace can make all the difference. With a growing number of tools promising to revolutionize Business Intelligence (BI) and decision-making processes, making an informed choice is crucial. Two noteworthy contenders in this space are Navigable AI and Continua AI . This post dives into the strengths and weaknesses of each, helping you decide which platform fits your needs best — especia

In the rapidly evolving world of SaaS and independent software tools, domain management is becoming ever more streamlined and accessible. subdomain.to steps into this space as a platform delivering automated DNS and HTTPS for customer domains , making it quick and easy for SaaS makers to offer custom domains to their users without the usual technical headaches. In this review, we'll cover: What subdomain.to is and how it works Key features and benefits

Enterprise adoption of AI, especially for critical tasks like forecasting, promises significant gains in efficiency and insight. Yet, even as Large Language Models (LLMs) achieve impressive accuracy, trust remains the true bottleneck. Companies such as Garrett Motion , PMI , and Pandora have experimented with LLMs and retrieval-augmented generation (RAG) techniques to boost forecasts — but accuracy improvements alone have not sufficed to guarantee confidence. This

In the rapidly evolving AI landscape, businesses and developers alike rely on benchmark scores to guide their model choices. Yet anyone who’s compared results from popular benchmarks soon runs into a frustrating and persistent puzzle: different AI benchmarks regularly disagree about which model is “best.” From debates around Vectara vs FACTS scores to the nuances in AA-Omniscience and conflicting HalluHard vs CJR assessments, it’s clear there is no one-size-fits-all b

Large Language Models (LLMs) have transformed the possibilities for customer support automation, especially in complex, high-volume environments. But when it comes to sensitive tasks like refund decisions , the question arises: can an LLM independently determine refund amounts safely and accurately without guardrails? This post digs into the nuances of LLM risks, automation layers, and how vendors like Zowie, Intercom (Fin), and Zendesk (Advanced AI) approach this chal

The rollout of Grok 4.3 across consumer AI apps is stirring many questions — especially around inconsistent model versions and why two users of the same SuperGrok subscription end up interacting with different AI "brains." In this post, we'll break down the practical reasons behind these discrepancies, why Real-Time X Data is a crucial differentiator, and how pricing tiers and workflows, such as DeepSearch and Big Brain Mode , influence your experience. Und