PromptQL

Thrilled to be named one of the Top AI Startups to Watch in 2026 by @BusinessInsider 🚀 What they spotlighted as our killer feature: “AI accuracy at scale – without requiring messy data to be prepped or moved elsewhere.” Since day one, we’ve been obsessed with one thing: AI accuracy on data as it is today. Your AI should learn your business language – and keep learning as your business and data evolve. That’s the only way to scale accuracy – not by waiting for “perfect” data. We’ve always believed this was the real game-changer. Amazing to see the world take note. 👉  Full feature in the comments. #EnterpriseAI #BusinessInsider #AccurateAI #TopAIStartups

Security vulnerability protocol updated. Not in a Google Doc that gets stale. Not in Confluence nobody checks. In the wiki. Where AI enforces it. Living documentation > static documents.

The teams shipping fastest in 2026 aren't just using AI tools. They've restructured everything around them. Tonight we're demoing what that actually looks like. SF. Doors at 5:30. lu.ma/aipilled

I see the playbook for killing SaaS tools right in front of my eyes. Minute by minute. It's just fascinating to see. Not killing it outright, but gradually replacing bits of what we would have done on SaaS tools. (strangler pattern vibes). Give every slack channel a generative app / dashboard thing. That's it. Deets on how it this works for us 🧵

19,000 Gmail integration errors in one day. Sounds like a crisis. Turns out someone was doing Inbox Zero. Mass-deleting emails triggered a cascade of "message not found" errors as the sync tried to process messages that no longer existed. Not a bug. Not a breach. Just aggressive email hygiene. The fix took 5 minutes once we understood the pattern. Getting to that understanding without shared context? Hours of panic. That's why the wiki matters.

Everyone's building agents. Few are asking what happens when more than one person uses them. One AI. One shared context. Same accurate answer for everyone. Rob Dominguez will host a live demo today at 12:50 PM in Agentic Hall 1

Everyone tried to solve AI the same way. Sales agent. Support agent. Ops agent. Finance agent. You don't need 10 agents. You need shared context. You need one accurate AI that connects to all your data and learns how your team actually works. That's team AI. Learn more at AI Agent Conference in NYC this week.

It's just amazing to be on @PromptQL. You just need to think and converse, work just happens.

Unsurprisingly we use @PromptQL at @PromptQL to accelerate our own work. It's been super helpful for me personally for when I get paged. I just ask the AI, "hey, this alert is firing, what's going on?" Because we have set up data integration with our alerting and observability systems, and we've taught it how best to query them, it can just look up the alert, investigate the related traces and can give me back a summary of the problem without me going and digging through traces myself. Sometimes the alert is caused by a particular customer's project, and I can simply ask "who is this customer" and it will look up their details with no effort on my part, making it really easy to reach out to help them. If I need to consult someone else, it is trivial to @-mention them into the conversation and get their help. If the alert is spurious, I can simply ask the AI to exclude the spurious data from it and it will update the alerting configuration in the integrated system for me. Thanks to @PromptQL being in the loop, I can spend less time investigating alerts and more time building product features.

#Slack is the company mouth. It will never be the company brain. It's before the work. After the work. Around the work. Rarely the work itself. Your team needs a place where the work actually happens. Where context compounds. Time to work smarter. x.com/tanmaigo/statu…

Brandon hits the 1Password authentication loop. Stuck. Arpit drops the fix in 30 seconds. Knowledge he's had in his head for years. Now it's in the wiki. Next person who hits this? The AI already knows. AI that works how enterprises actually work.

> What if Slack was rebuilt to be AI native in 2026? It'll feel like your workspace woke up. 🌞 We started building this last year, and finally 30 days ago switched over from Slack to PromptQL. Super excited to share early launch of what it looks like and what it feels like!

What happens when you stop using #Slack and move everything to AI? Most teams bolt AI onto their tools. We replaced the tool. Not with a chatbot. Not with a copilot. We moved everyone to where the work actually happens. Tomorrow 10am PT with @rajoshighosh & @sahar_mor. See why it worked. See why we're never going back lu.ma/moving-from-sl…

sales calls used to happen in silos. one rep's killer objection-handling line? forgotten by Monday. we set up auto call summaries every 3 hours. now all our reps see what's resonating. what pains are hitting each vertical. what's working. one rep's insight becomes everyone's playbook. AI you can redirect. keeps running. keeps learning. Stop #slacking. Start prompting.

"create an opportunity in SFDC. Account: D****** Stage 1, $500K Close: August 31" done. no seven screens. no required fields hunt. just asked. created. move on. this is what AI that works actually looks like. you stop noticing it. Stop #slacking. Start prompting.

"draft an email inviting Rachel, Marcus, Priya and their teams to a workshop. April 21-23." email drafted. context pulled. names correct. teammate: "anything else for the agenda?" another: "check my thread from this morning - bring that info in" context flowed. email shipped. Stop #slacking. Start prompting.

we replaced #Slack with @PromptQL. it's now our primary way of working. "no more coordination theatre." "i don't have to wait on people anymore." April 21st we're opening up our workspace to show you how. virtual + limited SF seats: lu.ma/moving-from-sl… Stop #slacking. Start prompting.

One director: 18 months stuck in RAG discovery. Chunking, embedding optimization, retrieval tuning - no production deployment. Another exec asked about Karpathy's wiki principles unprompted. The architectural debate is shifting. Join us promptql.io

Just wrapped Chief AI Officer Summit. Pattern was clear: teams who built v1 - RAG pipelines, text-to-SQL, agent frameworks - all hitting the same walls. Semantic layers that don't scale. Context that doesn't compound. Accuracy that breaks in production.

AI on data only works 39% of the time. that's the @UCBerkeley Benchmark on real enterprise data tasks. the models aren't the problem. agents fail at planning and reasoning. what's missing? shared context. @rajoshighosh breaks this down today at 12pm PDT on main stage. Stop #slacking. Start prompting.

@chamath tokenmaxx solo = expensive journaling. wikimaxx together = compounding intelligence.

Don’t forget to effortmaxx your models so that you can tokenmaxx your work and expensemaxx your OpEx. Have a good week.