Where Enterprises transform busywork into Agents. Secure AI in minutes, not months.
San Francisco
Based in United States
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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.
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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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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
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Read the full press release here: asana.com/press/releases/pr/…
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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. 🚀
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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.
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!
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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We’re excited to introduce subagents on StackAI 🚀
The manager/orchestrator AI agent breaks a high-level goal into tasks, delegates to specialist subagents – each with their own tools, context, and expertise – then reviews & delivers one polished result.
Why it matters?
⚡ Speed: tasks run in parallel, not sequentially
🧠 Focus: each subagent handles a specific task
📈 Scalability: complex problems break into small, focused teams
Combine this with computer + browser use ➡️ an enterprise-ready AI team with a manager, specialists, and built-in quality control.
Watch our new video & book a demo to see subagents in action!
#StackAI #Subagents #EnterpriseAI
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Proud to be named in The Agentic List 2026, which recognizes the top agentic AI companies most admired by enterprise leaders.
StackAI makes it easy for teams to turn processes into AI agents in minutes. With a no-code workflow builder, a robust governance and ADLC suite, and white-glove support from experts, we're proud to be the the trusted AI transformation platform for enterprises around the world.
#TheAgenticList2026 #StackAI
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When Fabien Cros joined Ducker Carlisle from Google, he expected to find teams already building sophisticated AI workflows with frameworks like LangChain and AutoGen. Instead, he discovered something far more common: organizations overwhelmed by AI possibilities, unsure where to start, and relying on small technical teams that had become impossible bottlenecks.
But with StackAI, Ducker Carlisle has empowered 100+ business users to build AI agents themselves, supported by a small team of experts providing strategic guidance, achieving what centralized development never could: rapid innovation, $1 million in projected annual savings, and a sustainable model for ongoing AI adoption.
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Sharing document ingestion war stories in a webinar with our friends at @llama_index next week.
We'll cover:
• How to processes millions of documents across finance, insurance, and legal use cases
• Why document parsing and retrieval are critical to agent performance
• Lessons learned deploying document-driven agents in enterprise environments, and more
Look forward to seeing you there!
Register below: landing.llamaindex.ai/webina…
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We're excited to share more about our partnership with @cerebras, bringing faster inference options to StackAI customers.
With Cerebras available on the platform, workflows that need real-time performance get noticeably faster responses—especially helpful for multi-step agent workflows that make dozens of LLM calls.
For teams running AI agents at scale, this means more responsive experiences and higher throughput when speed matters.
#StackAI #Cerebras #AIagents #Orchestration
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