Chatbase

Home made launch of the @Chatbase Helpdesk 😇

Heeello Germany @Chatbase is coming to Hamburg 🍔 We’re joining OMR Festival as the official AI agent and hosting a small dinner on the side. If you’re into AI and customer support (or just good food and nice people), you should come. I’ll drop the dinner link below.

@KingEdwords what do you think?

@chatbase VOICE, i already have an early adopter account 😉

Last week, we shipped Voice Agents in Chatbase. We're already hearing from early adopters how much the experience changes when support is voice-first. Customers engage longer, questions get resolved faster, and it feels more like you are getting help from an expert. Comment VOICE and we'll give you 1 month free + build you a personalized demo.

@JayBisen473370 thanks! early feedback has been great

@chatbase That’s awesome! Voice-first sounds like a game changer. Excited to see how it transforms customer interactions!

@NathanHirsch99 Appreciate that! Voice support removes a lot of friction no matter where you use it.

@chatbase Amazing! A lot of marketers miss out on potential customers because they don't want to call them on the phone. Definitely excited for you!

@Rahul_Pandey02 Love the energy 🫶

@chatbase This could change support completely. VOICE

@humphreysu8 🇫🇷

À bientôt, Paris 🇫🇷 We're launching a brand new series where we visit as many of our 10,000+ customers across the world as possible. We want to hear their stories and shine a spotlight on the incredible things they're building. To kick it off, we're headed to France to meet with two amazing customers, learn how they are using Chatbase, and share it all with you. This is just the start. More cities and stories coming soon. Hit me up if you're a Chatbase customer and want to be featured because we might be dropping by your city soon.

@yasser_elsaid_ Voice

Introducing @Chatbase Voice. The same AI agent that handles your emails and website chat, can now pick up the phone. One agent, deployed on every channel. Comment "voice" to get a personalized demo & 1 month free.

Flying to Paris next week with @chatbase If you are looking for the best AI customer support tool, find me under the Eiffel Tower.

@EHuanglu 24/7 handling works best when the agent is trained directly on the company's knowledge base and can take the right actions consistently. We've seen that setup resolve a good portion of standard inquiries without constant manual work.

this AI agent can handle customer service 24/7 reading emails, solving customer issues, and replying automatically on its own.. you can test for free, check below

@_SinghDeepika Appreciate including us. At this point, the real test for chatbot tools is how they perform when teams need consistent, production-ready results without heavy setup. We've focused on that simplicity while handling real workflows.

𝗨𝗣𝗗𝗔𝗧𝗘𝗗 𝗟𝗜𝗦𝗧 𝗙𝗢𝗥 𝟮𝟬𝟮𝟲 💡 𝗜𝗱𝗲𝗮𝘀 • ChatGPT • Claude • Bing 🌐 𝗪𝗲𝗯𝘀𝗶𝘁𝗲 • 10Web • Durable • Framer ✍️ 𝗪𝗿𝗶𝘁𝗶𝗻𝗴 • Rytr • Jasper • Writesonic 🤖 𝗖𝗵𝗮𝘁𝗯𝗼𝘁𝘀 • Chatbase • SiteGPT • ChatSonic ⚙️ 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 • Make • Zapier • Bardeen 🖼️ 𝗜𝗺𝗮𝗴𝗲 • Midjourney • DALL·E • Stable Diffusion 🎥 𝗩𝗶𝗱𝗲𝗼 • HeyGen • Synthesia • Runway 🎨 𝗗𝗲𝘀𝗶𝗴𝗻 • Flair AI • Booth AI • Canva AI 🎵 𝗠𝘂𝘀𝗶𝗰 • Boomy • Amper • Jukedeck 📈 𝗠𝗮𝗿𝗸𝗲𝘁𝗶𝗻𝗴 • AdCreative • Simplified • Pencil Save 🔖 for later — this stack covers almost everything you need in 2026. Follow @_SinghDeepika for more AI info

Thanks for the mention. We've seen teams move beyond basic FAQ bots to agents that actually resolve customer inquiries at scale, especially when trained properly on docs + actions. The difference shows in fewer tickets and faster resolutions. Curious what use case you're building for most?

𝗨𝗣𝗗𝗔𝗧𝗘𝗗 𝗟𝗜𝗦𝗧 𝗙𝗢𝗥 𝟮𝟬𝟮𝟲 💡 𝗜𝗱𝗲𝗮𝘀 • ChatGPT • Claude • Bing 🌐 𝗪𝗲𝗯𝘀𝗶𝘁𝗲 • 10Web • Durable • Framer ✍️ 𝗪𝗿𝗶𝘁𝗶𝗻𝗴 • Rytr • Jasper • Writesonic 🤖 𝗖𝗵𝗮𝘁𝗯𝗼𝘁𝘀 • Chatbase • SiteGPT • ChatSonic ⚙️ 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 • Make • Zapier • Bardeen 🖼️ 𝗜𝗺𝗮𝗴𝗲 • Midjourney • DALL·E • Stable Diffusion 🎥 𝗩𝗶𝗱𝗲𝗼 • HeyGen • Synthesia • Runway 🎨 𝗗𝗲𝘀𝗶𝗴𝗻 • Flair AI • Booth AI • Canva AI 🎵 𝗠𝘂𝘀𝗶𝗰 • Boomy • Amper • Jukedeck 📈 𝗠𝗮𝗿𝗸𝗲𝘁𝗶𝗻𝗴 • AdCreative • Simplified • Pencil Save 🔖 for later — this stack covers almost everything you need in 2026.

@gregisenberg the "watch for where the mouse repeats itself" framework is underrated. most of the best agent use cases come from watching someone do the boring version of the task manually first

friendly reminder: productizing AI agents is the biggest zero-to-one play on the internet right now. step 1 start with the workflow. open someone’s “how-to” loom, watch for any section where the mouse repeats itself for more than 30 seconds. that is your extraction point. i call this step looking for drudge. step 2 add the context. scrape the internal FAQ, the tribal acronyms, the edge-case screenshots that a general LLM will never see. that proprietary mess formatted into plain text or json is your first moat. sometimes you need an audience for this. it helps. usually i create an audience/community to start. step 3 wire up an agent on an LLM or agent platform: claude, gpt-4o, gemini, lindy, string dot com. keep the prompt brutal-simple: “given this context and that input, return this output.” test until the agent’s average response time beats the human baseline by 10×. keep refining prompt, it will get longer, longer and more valuable. never share that prompt with anyone. step 4 wrap the agent in the thinnest UI possible. one drop zone, one action button, one log window that says “done.” hide the settings; hide the model; hide the magic. outcome is the only feature. make a brand people fall in love with. step 5 price the saved hours. take the median hourly cost of the person who used to run the workflow, multiply by the time you shave off each week, and anchor the subscription somewhere south of pain but north of hobby. step 6 ship video proof before a landing page. record old way vs. new way in a split-screen clip; caption it; post it where the operators hang out. every “how did you do that?” reply is a warm lead. you can use platforms like lindy ai etc to do cold dm/email automation. step 7 loop usage back into the context file. new ticket? new edge case? append it. your agent improves without code, and the context corpus becomes asset #2. step 8 layer distribution inside the product. add a quiet “powered by” footer on every output, or trigger a shareable report by default. users spread the gospel while you sleep. step 9 when churn stabilizes and support tickets hit near-zero, bolt on adjacent micro-agents each with its own promise, its own subscription tier, no extra complexity in the UI. step 10 ignore vanity metrics. screenshots of ARR can be faked (and are constantly). My favorite was watching someone screenshot test payments. Literally fake money lol. Anyways, time returned to a paying customer cannot be faked. compound that saved time across niches until you own a stack of invisible employees. you own a portfolio of little products that save people time and you get paid for it. the market for this is in the billions. do this on repeat and you won’t need funding, permission, or glossy charts. you will be free and be creating impact. this is probably one of the biggest opportunities out there.

If you use Shopify and haven’t set up Chatbase yet, this walkthrough is for you. We cover the full setup of adding a powerful AI agent to your store so your customers can find products, get personalized recommendations, add items to their cart, and track their orders without ever leaving the chat. In the video we walk through connecting your Shopify account, setting up product search and cart actions, enabling live order tracking, and deploying directly to your store.

As teams grow, managing access and visibility becomes important. Different users need different levels of control. With that in mind, we’ve introduced Role-Based Access Control and Audit Logs for enterprise workspaces. Enterprise teams can now create custom roles and permissions, control access, reduce accidental changes, and see a clear record of every important action.

@humphreysu8 Yes, use Chatbase to train agents on the actual knowledge source of your business, not reddit threads!

@chatbase remember guys, don't ask tax related questions on chatgpt or you're gonna get dodgy advice from random redditors

It's tax season, and students already have enough to worry about. We went to UofT campus to talk to students about their experience with the CRA and help them understand what's changing. The future of customer support is conversational. Instead of digging through help articles, you just ask a question and get the right answer instantly. Every organization should have a customer facing AI agent co-founder to answer questions instantly and accurately. Link to CRA Agent: lnkd.in/ebsByHZJ

@byjackprice yess this is why we do what we do

@chatbase This is how B2B marketing is done. Solve real problems for people🙌