Author: day2 n8n

If you’ve been following workflow automation tools, a new roundup on Vellum’s blog is worth a read. Vellum reviewed and compared 27 platforms and distilled them down to the 15 best n8n alternatives for 2026 — a tidy guide for teams re-evaluating their automation stacks.

The article, titled “15 Best n8n Alternatives: Reviewed & Compared,” highlights a mix of established no-code players and newer entrants. At the top of the list are Vellum AI, Make (formerly Integromat), Pipedream, Zapier, Pabbly Connect, StackAI, and Microsoft Power (among others). That selection signals a range of approaches — from platforms that emphasize builders and integrations to those positioning themselves around AI-driven workflows.

What stands out in Vellum’s approach is the scale of the review: 27 platforms examined and narrowed to a focused list of 15, aimed at helping teams pick the right fit in 2026. Whether you’re exploring alternatives because of specific feature needs, pricing, or deployment preferences, a curated list like this can save time and point you toward viable options.

If you’re considering a migration or just scouting the market, Vellum’s article provides a concise starting point. For the full comparisons and the complete list of recommended alternatives, check out Vellum’s original post to see how each platform stacks up in their review.

OpenAI has introduced GPT‑5.4, rolling it out across ChatGPT (as “GPT‑5.4 Thinking”), the API, and Codex. The company positions this release as its most capable and efficient “frontier” model to date — built specifically to meet the demands of professional work.

What sets GPT‑5.4 apart is a focus on real-world productivity: OpenAI highlights state-of-the-art performance in coding, improved computer use and tool interactions, and more effective search across tools. GPT‑5.4 also brings dramatically longer context support (noted as a 1‑million token context), enabling the model to work with much larger documents and more complex multi-step tasks without losing track.

Deployed as a “Thinking” model in ChatGPT, GPT‑5.4 aims to trade a bit more processing for better accuracy and capability — a design choice intended to help users tackle deeper, professional-grade problems across development, analysis, and tool-driven workflows. With availability in the API and Codex as well, developers and teams can integrate the model’s enhanced capabilities into apps and processes.

Bottom line: GPT‑5.4 is positioned as a practical step forward for users and organizations that need stronger coding assistance, richer tool use, and the ability to handle far larger contexts — all delivered in OpenAI’s latest frontier model.

Ozempic® (semaglutide) has become a widely recognized name, and with any prescription medication, the conversation quickly turns to side effects—what’s common, what’s manageable, and what should prompt a call to a clinician.

According to Ozempic’s official side effects information, the most common side effects include:

– Nausea
– Vomiting
– Diarrhea
– Stomach (abdominal) pain
– Constipation

That list paints a clear picture of what many people may experience: gastrointestinal discomfort is front and center. For anyone starting or already using Ozempic, it’s a reminder to pay close attention to how your body responds, especially around digestion and abdominal symptoms.

The site also points readers toward prescribing information and encourages reviewing Important Safety Information, including a Boxed Warning. In other words, the headline side effects may be common, but the broader safety context matters—and the manufacturer emphasizes reading the full guidance rather than relying on quick summaries.

If you’re considering Ozempic or are newly prescribed it, the takeaway from the official information is straightforward: expect that nausea, vomiting, diarrhea, abdominal pain, or constipation may occur, and make sure you’re informed through the complete prescribing and safety materials provided.

As Ozempic use expands, a new question is surfacing alongside the familiar conversations about weight loss and blood sugar control: could there be mental health side effects tied to the drug?

An NPR report looks at that concern through the lens of the FDA’s adverse event reporting system, known as FAERS. NPR’s analysis found the agency has received 489 reports from patients describing mental health issues while taking Ozempic and related medications. What makes the situation especially complicated, the article notes, is that these mental health side effects are not listed in Ozempic’s instructions for use.

That gap—between what’s in official guidance and what’s showing up in patient reports—creates a tension that’s easy to understand. On one hand, FAERS is designed to capture real-world experiences and early warning signals. On the other, reports in a database don’t automatically prove a medication caused a specific problem. NPR frames the core uncertainty plainly: are these mental health concerns a coincidence, or are they related to the drug?

The story lands at the intersection of scale and scrutiny. As more people take Ozempic, more experiences—expected and unexpected—are likely to be reported. NPR’s reporting highlights how those signals can accumulate before they are fully understood, leaving patients and clinicians to navigate questions that may not yet have clear answers in the prescribing information.

For readers following the Ozempic story, NPR’s piece is a reminder that a medication’s public narrative can evolve quickly as use grows—and that post-market reporting systems like FAERS can become an important, if imperfect, place where new concerns first come into view.

A sharp headline can travel faster than the truth—especially when it includes a phrase like “SaaS is DEAD” and a name as recognizable as Satya Nadella’s.

That’s the tension at the center of David Chan’s Medium post, “Did Satya Nadella really say SaaS is DEAD?” The article is a response to the wave of chatter that followed a BG2 podcast episode featuring Nadella, Microsoft’s CEO, released over the winter break around Christmas. In that post-podcast swirl, a simplified—and more dramatic—interpretation took hold.

Chan’s answer is direct: No, Nadella didn’t actually say “SaaS is dead.” The blog post positions itself as a corrective to the clickbait version of events, suggesting that the popular framing overstates what was said and how it should be understood.

What makes the piece resonate isn’t just the fact-checking impulse—it’s the reminder of how easily nuance gets compressed into a slogan. A long-form conversation becomes a quote; a quote becomes a thesis; and soon an industry is declared finished in three words.

Chan acknowledges the take may be “unpopular” and that he may be “in the minority,” but the post’s core point is simple: listen closely, and the viral claim doesn’t hold up. In other words, the story isn’t about a dramatic pronouncement on the death of software-as-a-service—it’s about how we hear (and repeat) what influential leaders say, and how quickly a narrative can outrun the original context.

If the phrase “SaaS is dead” has been popping up in your feed, Chan’s article is essentially a pause button: go back to the source, pay attention to the actual words, and be wary of the internet’s favorite pastime—turning a complex conversation into a definitive epitaph.

On 3 March 2026 the Royal United Services Institute published a piece titled “Five ways the Iran war could end,” and the picture it paints is less about overthrow and more about reshaping power within Iran.

Urban Coningham, a research fellow at RUSI, told Channel 4 News that outright regime change is unlikely. Instead, he suggested, the country may emerge with “a new supreme leader, supported by the Iranian Revolutionary Guard Corps, or a clerical leader who Trump feels he can do business with.” That formulation reframes victory not as toppling a government but as producing a leadership Iran’s adversaries find negotiable.

Crucially, Coningham identified two concrete objectives that could substitute for removing the regime. First, limiting Iran’s uranium enrichment so it “doesn’t extend beyond civilian use,” coupled with assurance that the international nuclear watchdog has access to Iranian facilities. Second, extracting concessions on Iran’s missile production capabilities. If those aims are met, the U.S. might be willing to tolerate a changed, but not eliminated, Iranian leadership.

The RUSI framing suggests an endgame defined by constraints and verification rather than a dramatic political rupture. In that scenario, the war’s conclusion would be measured not by the fall of a government but by negotiated limits on nuclear and missile programs and by a leadership that outside powers judge amenable to deals.

n8n’s blog recently published a practical guide that walks readers through the promise and patterns of AI agentic workflows. Written by Yulia Dmitrievna and published on December 27, 2024 (with a later update on January 2, 2025), the piece focuses on how “agentic” automation—workflows built on top of AI agents—can make automation smarter and more adaptive.

At its core the guide frames agentic workflows as an evolution from one-off AI calls toward systems that can act, decide, and cooperate. It highlights a spectrum of approaches, from single-agent setups to multi-agent teams, and promises concrete patterns for building advanced automation inside n8n. The post is positioned as a practical resource for n8n users who want inspiration and grounded examples for bringing agentic intelligence into their automations.

If you’re exploring ways to move beyond static automations and experiment with workflows that can reason and coordinate, this n8n guide offers an accessible starting point—framing the key ideas and patterns you’ll need to design intelligent, adaptive automation with AI agents.

Republic Polytechnic is offering a two‑day beginner course titled “Agentic AI Workflow Automation with n8n.” The program is designed to give participants practical, hands‑on exposure to building low‑code automated workflows with n8n and integrating AI services into everyday processes.

What the course covers
– Fundamentals of workflow automation and how n8n enables low‑code integration across diverse services and platforms.
– Designing and building automated workflows that connect APIs, databases, AI services (examples listed include ChatGPT and image generators), and cloud tools.
– Integrating AI capabilities—such as natural language processing, summarization, and classification—into business processes using n8n nodes.
– Implementing triggers and conditional logic to handle real‑time events, data routing, and task orchestration.
– Deploying and monitoring production‑ready workflows with attention to error handling, version control, and scalability considerations.

Why this matters
For teams and individuals looking to streamline operations or add AI‑driven steps to existing processes, the course promises a practical foundation in combining automation and AI without heavy development overhead. By focusing on n8n’s low‑code approach and real‑world concerns like error handling and monitoring, the two‑day format aims to move learners from concepts to deployable workflows quickly.

How to find out more
The course appears on Republic Polytechnic’s listings and mySkillsFuture/SkillsFuture for Business. For enquiries, the contact listed is askrp@rp.edu.sg.