Zoho Creator

Discover the power of Zoho Creator in this insightful video featuring the experts behind the platform. Join us as they share their journey and unveil how Zoho Creator has transformed businesses worldwide. #Zoho #LowCode #Video #DX #Tech

Join our trusted partner, OHO Solutions, to discover how @ZohoDesk and Zoho Creator work together to deliver powerful operational solutions. Attend our webinar to learn how to streamline and optimize your business operations effortlessly! Register now🔗 zurl.co/jFUBm

Day 1 at @SAPinsider Las Vegas is in the books!🚀 We’ve had some high-quality conversations at the @Bellagio. Our focus here is simple: helping enterprises extend their SAP systems while maintaining a clean core for long-term stability and speed. The Zoho Creator team is here through Thursday. Come over to booth #860 and say hello! See you soon!

Having to follow-up multiple times to get one purchase approved? Is the purchase request starting to take longer than the purchase itself? In episode 5 of the Prompt to App series, we're fixing that. Watch the episode here: zurl.co/u43CF

@Padday @eoghan The honest framing, 'brutal, not cosmetic', is what most SaaS teams need to hear. For workflow platforms, the tell is whether AI is changing how business teams actually build and run their own apps, or just adding a chat box on top of the same stack.

If you are a Saas company, this is a must read from @eoghan. We just crossed $400m in ARR. That chart is our growth rate, from Saas to AI. At most, a single handful of companies have completed this transformation. We are one of them, this is our guide on how to do it. p.s. *please share it* with everyone you know working in Saas, it will undoubtedly help them chart their course!

Code commoditizing is the short-term story. The long-term story is that business logic, process ownership, and workflow governance become the differentiated layer. Low-code platforms that sit between AI agents and business rules become more valuable as the code layer gets cheaper.

The transformation is real, but the governance gap is growing alongside it. When AI writes code and runs workflows, the audit trail, approval logic, and error ownership has to live somewhere humans can see and control. That's the enterprise low-code layer, it becomes the control plane.

3,000 people read this. Here’s a human summary: Software will be exponentially bigger. If you have time + cash + margins + innovative leadership… you have chance to be multiples of your current size. We have seen it before. See the examples in the piece and what time means. $IGV $CRM $XYZ $PATH

@_SeanDavid The 'operating layer' thesis is right, and workflow automation is the center of gravity. The companies that let business teams own and adapt their workflows, not just consume them, are building the stickiest part of that stack. That's the low-code process builder moment.

Everyone is extrapolating AI dominance scenarios. So let’s extrapolate. All members of $IGV merge. Call it Full Stack Corp. Now you’ve got: • Enterprise SaaS • Cybersecurity • Dev tools • Data platforms • Workflow automation • Identity • Observability Basically the operating layer of global enterprise. Then Full Stack Corp acquires Perplexity. Now it controls the AI-native interface layer. The answer engine sitting between users and software. Next step. $META builds a real cloud business. Full Stack runs entirely on Meta Cloud. Powered by LLaMA. LLaMA use token $ to stay competitive at the frontier. Token $ get sucked out of OpenAI and Anthropic.

Hardcoded workflow graphs are the RPA mistake, repeated. The right answer isn't smarter agents, it's a configurable process layer that routes them intelligently. Low-code workflow builders are where that routing logic lives and gets maintained by people who understand the business.

🇨🇳 New paper from top Chinese labs brings AgentConductor, a new framework dynamically adjusts multi-agent connections to solve complex programming challenges while using fewer tokens. The big deal here is the shift from rigid workflows to fluid teamwork. Normal multi-agent systems use a fixed, hardcoded workflow for every single problem. If you have a team of 5 specialized AI agents, all five talk to each other in the exact same pattern whether they are printing a basic text line or solving a massive competitive programming challenge. This wastes huge amounts of computing power on simple tasks and fails on complex tasks that actually require a different structure. AgentConductor fixes this by acting like a smart human project manager. It looks at the problem, judges the difficulty, and creates a custom communication graph just for that specific task. Easy tasks get a small, cheap team. Hard tasks get a large, highly connected team. Even better, if the generated code fails to run, the manager reads the error message and actually rewrites the team workflow on the fly to try a new strategy. The big deal is that it drastically improves coding accuracy while cutting computing token costs by 68%, proving that AI teams need flexible, task-specific management rather than rigid, one-size-fits-all pipelines. ---- Paper Link – arxiv. org/abs/2602.17100 Paper Title: "AgentConductor: Topology Evolution for Multi-Agent Competition-Level Code Generation"

Build business apps using AI-powered low-code! Join this Zoho Creator live demo on March 17 to see prompts, Deluge code, and smart automations in action. Click the link to register: EMEA: zurl.co/U5BEY APAC: zurl.co/DsGWt

Discover how @ZohoDesk and Zoho Creator work together to deliver powerful solutions for your operational needs. Join our webinar to learn how to streamline and optimize your business operations effortlessly! Register now: zurl.co/wZ4Ux

This is what we love to hear, Divya! It’s incredible to see the impact you’ve made with Zoho Creator already. While we don’t have immediate openings, we love seeing this kind of passion in the ecosystem. In the meantime, since you’re already a power user, you should check out our Certified Developer Program to make that expertise official: zoho.com/creator/develo… And if you’re looking to consult for other businesses, our Partnership Program offers the resources to help you scale those solutions: zoho.com/partners/creat… Keep building great things! 💙❤️

yo @ZohoCreator i was a solo intern dev who built my entire company's internal portal on your platform automated workflows they'd been doing manually for years and became genuinely OBSESSED with your product in the process you're the most underrated tool for small and mid-sized businesses in tech i want to be the person who changes that developer. evangelist. marketer. i don't care what you call it just hire me before someone else does #HireMeZoho #ZohoCreator #LowCode #JoinZoho @ZohoRecruit @ZohoCares @ZohoCampaigns

Join the next Creator Tech Connect to explore custom domains for portals in Zoho Creator. Learn how to map your own domain, deliver a fully branded portal experience, and ensure secure, seamless access for your users. Discover best practices and see a live demonstration. APAC & ANZ: zurl.co/o7DRH EMEA: zurl.co/Lqn1J AMERICAS: zurl.co/CY5BP

@rohanpaul_ai The shift from 'writing code' to 'reviewing artifacts' is exactly the citizen developer story repackaged for the AI era. The platform that lets a business analyst configure, review, and own a workflow, without a developer in the loop, wins the next wave of enterprise adoption.

Brilliant post by CEO of Cursor. Your next software engineering teammate isn't human. - The first era of AI software development relied on Tab autocomplete to automate repetitive, single-keystroke coding tasks. - The second era introduced synchronous agents guided by developers through prompt-and-response loops, leading to agent users outnumbering Tab users two-to-one. - A third era is now emerging, driven by autonomous cloud AI agents capable of tackling large tasks independently over extended periods. These cloud agents deliver easily reviewable artifacts like live previews, videos, and logs instead of traditional code diffs. The developer's role is transitioning from writing code to defining problems, setting review criteria, and managing multiple simultaneous agents. Internal metrics at Cursor show that autonomous cloud agents already generate 35% of their merged pull requests. Early adopters of this third-era workflow write almost no code, spending their time entirely on problem breakdown and artifact review. Scaling this approach requires resolving environmental issues, like flaky tests, that can interrupt autonomous agent runs at an industrial level.

Celebrating women today and every day. Happy International Women's Day! 💙❤️

Join the Learning Table Series to explore how Zoho Creator streamlines multi-currency processes with structured automation. Ensure accurate exchange rates, controlled transactions, and audit-ready processes with clarity and financial precision. Register now! APAC & ANZ: zurl.co/TrUyQ EMEA: zurl.co/2bHMZ Americas: zurl.co/XgZsM

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@designrushmag Speed is the headline, governance is the footnote, until something breaks. The orgs winning with low-code in 2026 are the ones that paired rapid app building with an approval layer and audit trail from day one. That's the discipline piece.

75% of new apps are expected to use low code in 2026. Speed matters more than ever, but without discipline, it creates long term risk. Modern software still needs solid architecture and UX that can scale under real usage. Shipping fast is common. Shipping well is not. DesignRush just released the 12 best software and app development agencies to hire in 2026. If you are planning an MVP or platform expansion, this list shows trusted brands to ship and scale. Read the full breakdown via @designrushmag. news.designrush.com/top-software-a…

@YJstacked That gap is the citizen development opportunity. Most enterprises don't need another agent framework, they need non-developers to configure and own the workflows. Low-code builders are the missing governance layer here.

In the fourth episode of Prompt to App, we build a complete IT asset management system using one AI prompt in Zoho Creator. Watch how it comes together here: zurl.co/tdVkl

@jerryjliu0 @sequoia The constrained-automation gap is real, and it's exactly where low-code platforms like Zoho Creator play a role. Structured workflows + AI agents working side by side is the practical bridge most enterprises need right now.

Existing AI agents are largely short-horizon (e.g. chat) or constrained (e.g. agentic process automation). @sequoia predicted that 2026 is the year of long-horizon agents, and long-horizon agents ~= AGI We’re already seeing this with coding agents. But I’m specifically excited about how this translates to non-technical knowledge work over documents (e.g. legal, finance, insurance, back office) that humans typically perform for hours on end. I wrote a blog post that articulates the broader class of use cases this would unlock, and the ideal architecture/UX of an “agent inbox” that allows agents to run autonomously without being blocked on human input. Unlike a chat interface. Some examples: 1. An agent that can continuously create a living FAQ from your Sharepoint, Slack, call transcripts 2. An agent that can e2e interface with lawyers to do contract redlining This fundamentally requires building agents that can monitor event triggers beyond human chat inputs, and can use core capabilities around parsing, extracting, creating, and editing documents of various formats. Check out the blog! llamaindex.ai/blog/long-hori… If you’re interested in the building blocks around parsing, extraction, with more coming soon, come check out LlamaCloud: cloud.llamaindex.ai