For us, as an API company, GenAI's real value isn't just in building the core product. It's in transforming the operational layer. Traditionally, API companies like ours have leaned on detailed tutorials, lengthy documentation, and manual customer support to help users get started and stay updated. We’d spend a lot of time writing out explanations, code samples, and step-by-step guides. Most customers appreciate these resources, but some found them hard to navigate or too time-consuming to use. Our solutions team also spent a lot of time on building detailed demos with more traditional tools, and maintaining industry / product specific resources. Keeping documentation up to date (especially as we shipped new features) was also always a challenge. What changed for us was aggressively incorporating GenAI across these problems. Instead of just thinking about GenAI as something to embed in our product, we started using it to solve our own operational bottlenecks. Here are three specific applications that have made a real difference: 1. Rapid demo building Instead of writing elaborate tutorials, we now use tools like Lovable or v0.dev to quickly build interactive demos. These are much more visual and hands-on for customers. The feedback has been clear: people engage with demos more than they ever did with static documentation. Our team also finds building demos a lot more enjoyable and less repetitive. 2. Documentation enhancement GenAI helps us check parameter coverage, generate tailored code examples, and even spot omissions (e.g. specific error codes or usage in specific customer environments) . This means our documentation and resources aren’t just comprehensive - they’re also much more relevant for different use cases. We can spot gaps and fill them faster, and our examples are more useful to the people who need them. 3. Personalized customer updates We use GenAI to analyze all our new features and documentation changes, then generate tailored updates for specific customers. Instead of a generic newsletter, our customer success team can provide highly relevant updates that matter to each customer’s actual implementation. This scales far better than manual outreach, and customers feel like we’re genuinely keeping them in the loop. The lesson for us: GenAI’s biggest value for API companies isn’t just in the core algorithms or features. It’s also in the operational layer. The connective tissue between your product and your customers. That’s where we’ve seen the most transformative impact, and it’s changed how we think about building and supporting our APIs.

Most AI strategies don’t fail because of the model. They fail because of the plumbing. Legacy integration platforms weren’t built for agents that reason, act, and adapt in real time. Yext made the switch before it slowed them down. They migrated 100+ integrations in 3 months. Cut costs by 60%. And started rolling out real IT agents for access, provisioning, and Slack workflows. 👇 Read the full story: https://bit.ly/3UhcOnd

Let’s talk about "AI products" ... I meet a lot of teams with great demos. Smooth UI, snappy answers. Then we look under the hood and it is a prompt on someone else’s model. That is fine for a v1. It is not a business. What tends to last: - You have distribution that brings real users. - You collect first-party data with clear usage rights. - You live inside workflows so teams cannot rip you out in a week. - Your agents take actions, not just chat. - You measure outcomes that matter: revenue, cost, error rates. If you do not control the data and the workflow, you are building a feature that a prompt can copy tomorrow. Wrappers are easy. Durable applications are not. What do you think?

Beyond low-code: introducing hands-off—our AI-driven configuration 🖐 No more coding, no more dragging UI elements, our next-gen #CoPilot chat brings product configuration to the next level. Simply describe your needs in plain language, and our intelligent multi-agent system does the rest. At the core, the MCP server empowers #AI agents to autonomously handle configuration and integration tasks, whether it’s customizing workflows or fine-tuning system behavior. Everything happens seamlessly, without a single line of code. ✅ Faster go-live timelines ✅ Reduced IT involvement ✅ Lower customization costs ✅ Minimal onboarding or training needed And this is just the beginning. We’re actively building on our AI-driven platform, #developing capabilities that we’ll soon be sharing with you...

📽️ Here's a simple n8n workflow that takes in articles from an RSS feed, summarises them with a Rightbrain AI task, and then forwards those summaries to a dedicated slack channel. 🔑 You've probably seen super complex workflows doing the rounds (more of a flex than something that's actually useful) but for someone that's starting out with workflow automation, the best advice is to keep it simple. Learn what's possible with the apps you're using, how to transfer data between them and using a HTTP request node for custom API calls. 📖 Quick guide on setting this up in n8n with full JSON for importing it in the comments.

Instead of having ten Chrome tabs open—like I do—and losing hours down rabbit holes, why not use a chatbot? Chatbots can get straight to the point—complete with sources you can verify yourself. https://lnkd.in/gg7MGUhN

imagine pulling 1864 reddit ideas + 140 product hunt drops through a venture slot machine… these 12 came out as jackpots this week. 🌵 🛠️ Trace / AI workflow router for Slack, Jira, Notion → cuts handoffs + routes tasks to the right human/agent 🌐 Readdy AI / Prompt → SMB websites (copy, design, CRM, payments, bookings) 💻 Qoder / AI maps repo architecture → dependencies, history, multi-file edits, safe refactors 📧 Mocke / 1-min email campaign simulator → predicts opens/replies/unsubs + root-cause insights ⚡ VibeFlow Studio / Prompt-to-app builder + Figma-style backend workflow editor 💳 Creem / Global payouts + revenue splits in 80+ currencies w/ tax & compliance automation 📄 ReadyBase / Converts any input into polished, branded PDFs instantly 🎭 TwinAI / Two AI personas debate in real time → multi-agent orchestration + dynamic personalities 📑 PDF Data Extractor / OCR + layout-aware extraction for contracts, invoices, compliance docs 🧭 MyCareerWise / Career navigator → fit scoring, skill gaps, learning paths, job recs 👥 AI A-TEAM Orchestrator / Multiple LLM personas simulate an exec team to diagnose + decide 🧘 Calmive / AI mood + wellness tracker → journaling, insights, exercises, privacy-first Full casino ledger + bi-weekly new spins in comments👇

Say hello to Knowledge Builder — your AI-powered shortcut to a smarter help center, from Zendesk. It analyzes your ticket data and key business context to automatically generate a smarter knowledge base. No guesswork. No starting from scratch. With Knowledge Builder, content creators can launch faster and unlock the full potential of AI agents almost instantly. Turn customer interactions into powerful knowledge with AI-powered automation: https://bit.ly/4mlDv6N

At Zendesk, I’m excited to share the Resolution Platform — built to unify technology and deliver faster, smarter customer service. ✔️ Automate 80%+ of resolutions across digital and voice channels ✔️ Boost productivity 3x with proactive AI copilots guiding agents ✔️ Tap into a unified knowledge graph powering both AI and human agents ✔️ Customize workflows with no-code tools and seamless integrations ✔️ Get deep insights and full control with advanced reporting and security Powered by over 18 billion service datapoints, it’s designed for the AI era to help teams resolve issues faster, smarter, and with trust. Explore what’s possible: https://bit.ly/41oMtrs

Struggling to streamline your business processes and save time with repetitive tasks? Inefficient workflows hold back productivity and can lead to costly errors. In today’s fast-paced environment, automation isn’t just a luxury — it’s a necessity for staying competitive and agile. Introducing n8n — a powerful workflow automation platform that combines AI capabilities with business process automation, giving technical teams the flexibility of code with the speed of no-code. ✔️ Build multi-step AI agents and integrate over 500 apps with drag-and-drop ease ✔️ Self-host AI models for maximum data security and control ✔️ Use both visual UI and custom code