We make building custom AI agents easy. Build custom AI agents in minutes, not months. Your data and context. For you, for your clients or your product's users.
You don't need engineers to ship an AI agent. Just a description of what you want, in plain language.
BlueNexus is live. The wizard interviews you, then builds the agent. You connect your data. It responds with context built around you and the people you serve.
Experts are packaging methodology into agents that earn beyond billable hours. Product teams are embedding agents so users get answers grounded in their own data. Individuals are building for themselves, then publishing for others.
One platform. Create. Publish wherever your clients already are. Monetise your expertise.
Worth exploring if turning what you know into something that scales is on your radar.
https://t.co/DlzH7GXBsf
Loads of conversations with digital product owners recently. The belief that "going agentic" means a six-month rebuild stops most teams before they start. AI integration doesn't have to be that hard.
Here's what it actually looks like with @BlueNexusAI 👇🧵
What if every user felt your product was built just for them?
An AI agent inside your product knows each user's context and answers like it was made entirely for them. This video shows how to build it through BlueNexus in under 10 minutes.
Check out the deep dive video in comments.
I spent two months building my chief of staff agent on Co-Work.
Then I rebuilt the same thing on @BlueNexusAI in under 20 minutes.
During the two-month build-out on Anthropic, I learned a huge amount, and most of what I learned was how much breaks the moment you give an agent real responsibility.
Skills firing at the wrong time. Guardrails letting through what they should have caught, and blocking what they shouldn't. Pro tip: pre-call tool hooks help. Logic falling over halfway through a task with no clear reason why. I spent days researching plugins, drawing out how the architecture should actually fit together, building a roadmap just to understand the thing I was building.
In other harnesses, Hermes, OpenClaw, the wiring is even more exposed. You're the integration layer, the debugger and the architect all at once.
Here's the ironic reality I kept facing. You build an agent to take work off your plate, and it becomes a dependant. A connector drops, a skill misfires, the logic snags, and suddenly you're spending more time nursing the agent than doing the work you built it to do. The thing you hired to help now needs looking after. You've got a new mouth to feed.
Current agent harnesses give you a garage, the tools and the parts, then expect you to build the car. The problem is, not everyone who wants an agent is a mechanic. They're time-poor people who need an agent to help, not another thing in the stack that needs babysitting. That's why we built BlueNexus.
I rebuilt the same agent on our own platform in under 20 minutes. The wizard handled the parts I'd been hand-wiring for weeks. The part I keep coming back to is what happens after. On BlueNexus the care runs the other way. The platform maintains the connectors so they don't go dark on me. The agent watches how I work. When I keep doing the same task, it offers to learn it as a skill. When something runs every morning, it offers to make it a scheduled job. It looks after itself, and it gets more useful while it does. The second month with it is better than the first.
This is the dashboard it built me after noticing I was missing important signals that needed my attention while I'm split between 7 different tasks at once. It noticed the pressure of context switching and made it easier for me to visualise my priorities for the day, based on context signals it scrapes from my connectors.
Every task shows up with where it came from and which automation surfaced it. My team can sit inside the same agent, see the same picture, pick up threads alongside me. It does the work, and it shows me the work.
That's why we built BlueNexus. Building an agent shouldn't take two months and more maintenance than the work it produces. It should take 20 minutes, and then it should look after itself and get better on its own.
Real agents. Your data. Anywhere.
Go build your own agent for free. Link in comments. 👇
A nutrition coach packaged their method into an AI agent.
Now it coaches their clients around the clock, tuned to each client's own data. They take on more clients without adding hours, and keep earning while they are offline.
Check out how easy it is: 👇
My agent told me to go to bed at 3:21am.
Connected my health data, gave it my rules, forgot about it. It read my week and rewrote my morning.
An agent that reads your actual life beats one that needs perfect instructions. @BlueNexus
Free credits link in the comments 👇
Point your camera at this.
A few seconds later you're in the place that turns what you know into an AI agent, one that earns for you even while you're offline.
Up to you whether you take it.
https://t.co/ZabPnkyZhg
Your expertise earns when you're in the room with a client.
Publish it as an AI agent where your clients already are and earn beyond your hours. BlueNexus is how experts grow past the calendar.
Create recurring revenue for yourself at https://t.co/ZabPnkyZhg
The wait is over. https://t.co/rvoYCqEJja is live.
Turn what you know into an AI agent that works while you rest. Experts monetise their methods. Products retain and grow users with a personalised in app experience.
Create your agent now: https://t.co/rvoYCqEJja
What if every client got your exact coaching method, any time, without you in the room?
A nutrition coach builds that here in under 10 minutes. No budget, no dev team required.
The Wizard does the heavy lifting. You answer a few questions.
https://t.co/KdEvOwWtYO
MCP gives agents access to tools.
But access alone is not enough.
The real unlock is turning those connections into useful context an agent can understand, route, and act on.
That’s where AI agents become more than chatbots.
https://t.co/ZabPnkyZhg
https://t.co/KPo8bIDF2n
Seventy percent of large SaaS brands now ship native MCP servers.
That number is new. Six months ago it was a handful of early adopters. Now it's the default. When a product launches, an MCP server ships with it.
The protocol question has been answered. MCP is how AI agents connect to enterprise tools. That debate is over.
The harder question is next: when every tool has a server, who routes intelligently between them?
A raw list of MCP connections isn't context orchestration. You still need a layer that knows what the agent needs, where it lives, and how to fetch it without bloating context windows.
That's what CORE (Context Orchestration Runtime Engine) does. The connectors are the inputs. CORE is the router that makes them useful in the hands of an agent.
If you're building on MCP at the enterprise level, the routing layer matters as much as the connectors themselves.
Try BlueNexus to orchestrate your context.
https://t.co/QyjwMpmlt1
AI agents are only useful if they know your context.
BlueNexus connects your data and builds custom agents in minutes, not months.
For you: turn your expertise into an agent that earns.
For your product: give your users AI that understands them.
https://t.co/Qfk2i5roPf
Stop trading hours for income.
Turn your expertise into an AI agent, publish it on the BlueNexus Marketplace, and let it work 24/7, everywhere your clients, users or followers are.
Growth shouldn't depend on your calendar.
https://t.co/ZabPnkyZhg
People spend weeks trying to configure an AI agent and walk away with nothing.
The Wizard interviews you for 10 minutes. You walk away with a personalized AI agent, ready to publish and monetize.
https://t.co/ZabPnkyZhg
A nutrition influencer used to field 30 DMs a day asking for meal plans.
She created an agent that knows her method. Now it answers.
She still gets the credit. The agent does the work.
Create yours at https://t.co/ZabPnkyZhg
Buying decisions are moving from search to AI agents.
Users won't compare or browse anymore. Their agent routes the work to whoever's already wired into the workflow.
https://t.co/T0FIJ4cWGp gets you wired in.
Building an agent used to mean six months and an engineering team.
Now it means answering a few questions while onboarding.
Demo and daily use are finally the same product.
https://t.co/ZabPnkyZhg
Generic AI only knows what you put into the prompt.
What if it knew your expertise, data, methods, and how you work with clients?
BlueNexus turns that context into an AI agent that works beyond your hours.
Create. Publish. Monetize. https://t.co/T0FIJ4coQR.
BlueNexus is proud to announce that we officially endorse the @agentcommunity_ 's @ICANN bid for the .agent top-level domain.
The naming layer for the agentic web should be community-governed, not owned by any single corporation.
Secure yours now
https://t.co/5GqeDAacZh
The .agent @agentcommunity_ is on track to become a real top-level domain.
Think #ENS but for AI agents.
There's a community application going to @ICANN (the body that governs domain names) for it right now. 22,000+ members already signed on. The lineup includes Ollama, Datadog, Netlify, Brave, Sourcegraph, Vapi, & Alibaba Group to name a few.
We share the vision that the naming layer for the agentic web should belong to everyone. Open governance. No single corporation running the gate ✊.
The 2026 ICANN application round is open now. Recommend you secure your companies distributed surnames while you can.
🔗 https://t.co/37Ftxv9rGZ