Nick - BlueNexus

Building context orchestration with @BlueNexusAI

[Nick - BlueNexus @FAFO_in_Prod]

@curious_wall @drewiustinai @BlueNexusAI It all falls under context and memory management, what you retrieve, what you persist (md/yaml etc), and how you scope per agent. Orchestration assembles and routes that context. Delegation is more a multi-agent handoff pattern beside it.

[Nick - BlueNexus @FAFO_in_Prod]

@lautaroseth @stoicblock @drewiustinai @BlueNexusAI Scope-per-agent is how we keep noise down too. The thing that bit us later was deciding what earns a permanent spot in memory beyond the recent stuff, that's what makes session two sharper than one.

What are you doing in terms of added context / MCP management?

[Nick - BlueNexus @FAFO_in_Prod]

@stoicblock @drewiustinai @BlueNexusAI @lautaroseth I read it the other way. A team has lots of different strengths. A founder who knows exactly who owns what and tags the right person in, rather than bluffing, is doing it right. Not everyone on a team needs to be deep technical. Knowing your lane is a strength IMO.

[Nick - BlueNexus @FAFO_in_Prod]

@SonicSphereFund @BlueNexusAI 👍

[Nick - BlueNexus @FAFO_in_Prod]

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  👇🧵

[Nick - BlueNexus @FAFO_in_Prod]

@SonicSphereFund @BlueNexusAI SDK. We're still building out educational content and docs. But I have all the material I can share with you if you want to deploy. What product / use case were you thinking ?

[Nick - BlueNexus @FAFO_in_Prod]

@BlueNexusAI If you run a SaaS product, platform, app or business where any of your client interface is digitised, and you're wondering how to make AI part of your roadmap, my DM's open if anyone wants to discuss how BlueNexus could bring their product into the agentic era.

[Nick - BlueNexus @FAFO_in_Prod]

@BlueNexusAI Context is where it actually gets powerful. Your data, your users' data, your workflows. Building this from scratch is a big lift. So we built the connectors, the self-managing layer, and a wizard that gets you from idea to deployed agent without an engineering team.

[Nick - BlueNexus @FAFO_in_Prod]

@heyblake Mine's @bluenexusai. You describe the agent you want, a wizard builds it, and it does the work, connects to your apps, remembers what matters, runs on a schedule. Experts package their know-how into an agent and earn from it. Keen on your read of the positioning.

[Nick - BlueNexus @FAFO_in_Prod]

@askOkara Cool build. The bit I'd dig into is memory across campaigns, knowing which creators delivered last time, who to skip, when to circle back, so each launch is smarter than the last. How's Okara handling that? (the part we obsess over at @bluenexusai)

[Nick - BlueNexus @FAFO_in_Prod]

The interesting part of an agent like this is the memory, knowing enough about each person to land the right message at the right time, and getting sharper every send. How's Blueberry handling the per-prospect memory and timing? (the bit we think hardest about over at @bluenexusai)

[Nick - BlueNexus @FAFO_in_Prod]

Mine's @bluenexusai. You describe the agent you want, the wizard builds it, and it actually does the work: connects to your apps, remembers what matters, runs on a schedule. Domain experts package their expertise into an agent and earn from it. Product teams build one straight into their product. Keen to connect with others building in the space.

[Nick - BlueNexus @FAFO_in_Prod]

@BlueNexusAI https://t.co/pcb5tSrhQO

[Nick - BlueNexus @FAFO_in_Prod]

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. 👇

[Nick - BlueNexus @FAFO_in_Prod]

BlueNexus lets you not only build a hyper personalised agent for you, your clients or your product. It also lets you craft any kind of environment to work with your agent across the data thats important to you.

I built a personal health agent in 15 minutes that knows me better than my regular GP. It now acts as my health advisor, fitness trainer and nutritionist.

[BlueNexusAI @BlueNexusAI]

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: 👇

[Nick - BlueNexus @FAFO_in_Prod]

@BlueNexus https://t.co/pcb5tSrhQO

[Nick - BlueNexus @FAFO_in_Prod]

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 👇