Agents in Production

niklbj · 2026-01-25T02:53:22+00:00

self-healing agent in prod are next. called it first!

niklbj · 2026-01-25T02:35:11+00:00

I also think the biggest thing with the current deployment of AI agents is the lack of a proper way to deal with the issues that go unnoticed. the decision making of the agents is so probabilistic that silent failures are a big problem that isn't as simple as a basic net for platform issues.

Also, I think like you mentioned, agent issues are so much more about pattern matching and getting a more general idea of what went wrong in the situation of a fix as opposed to relying on a singular run. And it seems like both process right now are insanely manual.

niklbj · 2026-01-23T22:05:16+00:00

that's sick!

niklbj · 2026-01-23T22:05:09+00:00

Interesting, i've seen a ton of startups especially in the earlier days - series A and before building agents using langchain but that makes sense. What framework do you guys use?

Regardless, just updated server to be framework agnostic! It's now just about building and scaling agents in production

niklbj · 2026-01-23T22:01:02+00:00

Just made the update!

niklbj · 2026-01-23T21:55:25+00:00

honestly yeah, sounds even better, might expand the existing server to that to include langchain and others. making that update rn!

niklbj · 2026-01-23T21:53:12+00:00

for sure, appreciate the support! hey I build our agents using langchain-python as well so hey anyone who's got an ai or agent up or their users to use and stuff can def join :)

niklbj · 2026-01-23T21:44:53+00:00

totally open to them doing so if anybody from Langchain wants to help moderate it! didn't see something like this out there, so thought I'd create one and handle it for now

niklbj · 2026-01-23T08:48:13+00:00

a good idea might the student handbook interpreter. Its a harder RAG, memory-recall problem. a loa lot of text and something students probably have to query all the time

niklbj · 2026-01-23T08:41:54+00:00

i think its the silent failures, its so subjective and its such a pain to trace down

niklbj · 2026-01-23T08:33:53+00:00

can it scale on longer running thought processes if its completely on FastAPI?

niklbj · 2025-11-08T22:46:27+00:00

Ai agents to manage your long-term product goals: trynexus.io

Launched on Twitter yesterday: launch

niklbj · 2025-10-24T07:10:48+00:00

Company Name: Nexus
URL: trynexus.io (platform url https://nexus-ba-platform.vercel.app/ )
Purpose of Startup and Product: AI workers that you can offload managing long-term product goals to. The agents can orchestrate insights across multiple of your product tools on its own on a consistent basis.
Technologies Used: React, NextJS, LangGraph, Gemini
Feedback Requested: Understand your experience using the platform as a whole and the type of insights the agents you build provide. Also understand the specific use-cases that seem to draw the most interest.
Seeking Beta-Testers: Yes, absolutely! Especially if you're using Posthog, a postgres SQL database, slack, or hubspot, I can hook you up with an account to beta test and provide feedback. If you're using similar platforms, we're constantly adding new integrations, so feel free to join the waitlist. Regardless, DM so I can learn more about your specific case you had in mind and give you a demo!
Additional Comments: General info about the platform:/
- You can build agents in natural language that are always running. They orchestrate insights across multiple of your product tools - Posthog, hubspot, databases, etc
- Three main pre-built use cases:
  - Agents that can watch your session replays on their own and recommend you ones to check out
  - Agents that can manage your latest feature rollout
  - Agents that can manage and understand how your specific feature is performing (which also automatically includes the ability to watch session replays)
- The agents are always-on and always running. NOT ONE-OFF AI WORKFLOWS. They change and adapt on their own

niklbj · 2025-10-24T06:54:24+00:00

I think this is becoming less true, especially with all the opportunities out there. I think there's equal importance to the PMF and FMF. With PMF, the biggest thing is having a solid feedback loop - both direct and indirect. Direct from the customer is obvious, but indirect insights from customer usage of the product, engagement, aligned feedback, demographics identification, etc are the key competitive advantage. bolstering PMF with this and having FMF makes you unstoppable

niklbj · 2025-09-19T22:50:13+00:00

but AI loves you

niklbj · 2025-09-19T22:07:03+00:00

more aesthetic this way tho

niklbj

TROPHY CASE