StackAI @stackai

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One example of what Multi-Agent Teams on @stackai can do: a weekly SEO report. ✨ You build one agent and ask it for the report. It works out that the job needs: - traffic and behavior from Google Analytics - rankings and impressions from Search Console - backlinks and competitive position from Ahrefs - strategy and history from a knowledge base The agent creates a sub-agent for each, runs them in parallel, and combines the results into one report.  This is the simplest version of it. The same agent handles claims review, diligence, or RFP responses, and it goes well beyond a single report. Build one agent. It executes the rest.

StackAI launched Multi-Agent Teams! 🤖 Here's the problem we built it to solve 👇 A customer's agent works well when asked to do five tasks. At fifteen it starts getting unreliable. At thirty it's guessing. Every time you widen the scope, you expand the decision space the model searches on every single call, and every new instruction competes with the ones already there. You're not making the agent smarter… you're making the problem harder. Now, instead of one model doing everything, an Orchestration system routes each job to a Sub-agent that only knows what it needs to know: its own instructions, its own tools, its own knowledge bases. Narrow scope, fewer wrong turns. They run in parallel, and the Orchestrator brings the results back as one accurate output. Same models. Same tools. Better architecture.

Learn more on our blog: f.mtr.cool/t96yi4p0f2

Multi-Agent Teams are live on StackAI. 🎉 One agent doing everything is a ceiling. So StackAI built the alternative: 1️⃣ An Orchestration System breaks a complex request into specific jobs 2️⃣ Sub-agent specialists execute them in parallel- own instructions, own tools, own knowledge bases 3️⃣ The Orchestration System synthesizes everything into a single, highly accurate output Any workflow you've already built attaches as a Subflow Tool in the StackAI platform and becomes a specialist agent, nothing to rebuild from scratch. f.mtr.cool/t3othae6u5

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👀 GPT-6 Astra is coming to @stackai  – and here's why you'd want to build your next AI agent with it: It's OpenAI's most capable model, built for the hardest end-to-end work – with a 1,050,000-token context window, 128,000 max output tokens, and top-tier reasoning. It's state-of-the-art on computer use, browsing, and software engineering. For enterprise teams, that means dependable execution on tedious multi-step workflows that used to require a human at the keyboard... Filling out spreadsheets, updating customer records + stronger performance across coding, research, and document generation, backed by native support for code interpreter, file search, and web search tools. Put GPT-6 Astra to work on StackAI and automate your most critical back-office processes with speed, scale, and control 🚀

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Learn how you can replicate this: stackai.com/demo

A property manager was drowning in work orders. Now, with @stackai, when a tenant emails "My HVAC died last night": 1. GPT-5.6 reads the email and pulls the details: tenant, unit, issue, urgency. 2. Claude queries the vendor directory and matches the right HVAC pro. 3. Claude pings the team on Slack to approve ✅ or reject ❌ (human-in-the-loop) Once approved: emails the vendor the full work order, confirms with the tenant, and updates the system of record TL;DR: 💰 ~$400K saved annually in admin labor ⚡ Faster response on urgent issues 📥 Zero work orders lost in the inbox

One of my favorite agentic workflows... Please never organize documents by yourself again lol We now use @stackai instead:  📧Every time a new document arrives via an email 🤖 An AI Agent automatically uploads it and renames it in SharePoint/Gdrive 📎 and follows the correct folder path, metadata, and naming conventions!  That’s how agentic AI should feel. Running seamlessly in the background & proactively taking work off of your plate.

@tonilopezmr @houmland great memories!

I’m thrilled to share that StackAI is joining forces with Asana. From the moment we met Dan Rogers, Asana’s CEO, Arnab Bose, Asana’s CPO, and the rest of the team, it was clear they deeply understood what makes StackAI different: how we build, who we serve, and why it matters. When we started StackAI in early 2023, we believed LLMs would fundamentally redefine how work gets done. Today, with the rise of AI agents, that future is arriving faster than anyone expected; and we believe we’re uniquely positioned to help shape it. Over the past few years, companies across a wide range of industries have adopted StackAI to build reliable AI workflows for critical business operations. That momentum exists because of an extraordinary team that has obsessed over every detail of the product experience: from workflow reliability and orchestration to scalability, governance, and usability. At the same time, Asana has spent nearly two decades building one of the most trusted platforms for work management, used by 85% of the Fortune 100 and loved by millions of users worldwide. What makes this partnership especially exciting is our shared belief that the future of work will be built around seamless collaboration between humans and AI agents. Together, we have an opportunity to build something entirely new: a true operating system for human-agent execution across teams, tools, and data. I’ll continue leading the StackAI team alongside my co-founder Bernard and our incredible team, reporting directly to Arnab Bose. Arnab brings a rare combination of ambition, humility, and product leadership, and I couldn’t imagine a better partner for this next chapter. Importantly, StackAI remains StackAI: same team, same product, same brand, same commitment to customers. What changes is our ability to move faster, scale further, and bring more powerful AI capabilities to organizations around the world as part of Asana. This is not just about making individuals more productive. It’s about enabling entire organizations to operate differently: with humans and AI agents working side by side through governed, reliable workflows. To our customers: thank you for trusting us early. We plan to keep shipping faster than ever. To our team: this moment belongs to you. Your craftsmanship, intensity, resilience, and ambition made all of this possible. Now we get to build at an entirely different scale. Excited for what’s ahead, let’s keep cooking!

@RosinolToni Let's goooo!

@asana Read the full press release here: asana.com/press/releases…

Big news: StackAI is joining @asana!  We created StackAI to empower enterprises with secure, powerful agentic workflows that automate manual processes; Asana created the operating system for human-agent teams.  Now, we're building the place where humans and AI agents execute across every system a business runs on. Same product, same team, same brand, and way more fuel. We're just getting started. 🚀

One question I hear constantly while filming inside AI startups is: what happens when OpenAI just builds this? While filming INSIDE @stackai, co-founder @BernAceituno gave a pretty compelling answer. StackAI has raised $16.6M to build an enterprise AI agent platform that lets organisations automate complex workflows without writing code. For hospitals, defense contractors, and financial institutions, AI infrastructure has to meet strict compliance requirements. Once those workflows are embedded into an organisation, the switching cost isn’t the model, it’s everything built on top of it. The companies that survive probably won’t just be the ones with the best models. They’ll be the ones that enterprises cannot remove. Their INSIDE Startups episode crossed 30,000 views within 48 hours and drove over 500 high-intent clicks through to their website from YouTube alone. It's well past that now. Full episode link in comments!

Proud to partner with @Egnyte to accelerate agentic workflows for document-heavy processes⚡️ Excited for the use cases across financial services, construction, engineering, and more that this integration will unlock.

Egnyte @Egnyte

5 months ago

AI agents are only as powerful as the data they can reliably access. That's why we are excited to announce our latest integration with @stackai —bringing no-code AI agents directly into the Egnyte environment, where your enterprise content already lives & is already governed.

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.@BernAceituno wrote about the mistakes CIOs make all too often, and how to avoid them. Read the full article below at CIO.com!

CIO.com @CIOonline

5 months ago

95% of AI pilots fail. Bernard Aceituno has seen why firsthand — and the mistakes are more avoidable than you think. Read his breakdown of the 5 deployment errors costing enterprises the most. ➡️spr.ly/6016BB3rfa #FoundryExpert #EnterpriseAI

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