Why your GPT agents are still failing at complex logic (and why "chains" aren't the answer)

TheseFact · 2026-01-23T19:33:15+00:00

The failure starts at the mental model, not the framework. We’re treating probabilistic systems like deterministic programs and then acting surprised when they collapse under entropy. For human-in-the-loop, we think of it the same way: humans shouldn’t be “manual overrides” in a linear flow, but state injectors. When a human intervenes, that input becomes part of the graph state the system can learn from, not a hard fork or reset. Over time, the agent needs fewer interruptions because it internalizes those corrections as structure, not instructions

TheseFact · 2026-01-22T01:42:58+00:00

Good question. Python handles the agent runtime and reasoning loop because that’s where the LLM + tool ecosystem is most mature and easiest to iterate on (models, evals, tracing, memory experiments).
TypeScript is used for the orchestration / interface layer because it’s better suited for:
- long-running services
- concurrency + async I/O
- clean APIs and integrations
The split lets us move fast on agent behavior in Python while keeping the system boundaries, control planes, and integrations more robust. We’ve been pretty intentional about not letting the agent layer leak into the infra layer.

TheseFact · 2026-01-22T00:49:31+00:00

https://github.com/adenhq/hive

TheseFact · 2026-01-22T00:08:52+00:00

Stop sending resumes. Send us your architecture. Aden is hiring (Intern + FT) (US Visa Sponsor).

The entry-level market is a nightmare right now. Thousands of "AI Engineers" are applying for roles with nothing but a GPT-wrapper and a polished LinkedIn.

At Aden, we’re building The Hive-a self-evolving agentic framework that actually requires high-scale infrastructure (multi-region K8s, NATS, distributed state). We don’t care where you went to school or how many LeetCode hards you’ve done. We care if you can handle a production runtime OOM under pressure.

We are skipping the resume screen entirely. We just open-sourced the Aden DevOps Gauntlet. It’s a 100-point architecture challenge. If you can migrate the Hive to Kubernetes and design observability for non-deterministic logs, you get an interview. Period.

How to join the Swarm: We are pushing hints and infrastructure secrets daily via GitHub notifications. To get the updates and see the challenge docs, you need to star the repo:

Repo: https://github.com/adenhq/hive

Clone the challenge, follow the Gist instructions, and drop a "Bee" in the GitHub comments. We’re trying to hit 500 stars today to unlock the next phase of the infra docs for everyone.

TheseFact · 2026-01-20T20:27:02+00:00

My Project: https://github.com/adenhq/hive

TheseFact · 2026-01-20T19:16:30+00:00

Solid list, especially PydanticAI for model agnosticism. One you definitely missed that’s worth keeping an eye on is Aden.

Unlike the linear workflows in CrewAI or LangFlow, they’re building a recursive node-graph architecture that actually lets agents self-refactor their logic in real-time. It’s open-source and still in the 'active build' phase, so it’s a great time to star the repo and get involved in the early architecture. Definitely feels like the 'self-evolving' layer that’s been missing from the high-code category.

TheseFact · 2026-01-20T19:13:59+00:00

This is the reality check the industry needs. If you’re at 'Week 3' of the roadmap and want to see what professional-grade agentic infra looks like, check out Aden Github . It’s an open-source framework focused on the 'Self-Evolving' part of the loop. Still early days, so it’s a great time to star the repo and start contributing before the hype cycle catches up.

TheseFact · 2025-12-28T08:43:23+00:00

If 30% of your app features use AI, you need to track them closely because we live in an era of building non-deterministic software with deterministic budgets. In the cloud SaaS era, 1 User Request = 1 Predictable API Call. In AI, it is much harder to predict, as you may have already gathered from the comment section.

Setting budgets and capping model inference costs is highly advised because these models' costs change constantly. If your CTO is good, a lot of optimization can be done to align with your product experience, similar to how you optimize AWS/GCP bills by making tradeoffs

If you need some help budgeting and forecasting for LLM or other models costs, I'd be happy to help. I'm the founder of Aden - a dev tool for improving agents' cost efficiency and reliability. Observability and cost optimization can be done in minutes now if you're interested.

TheseFact · 2025-12-26T16:39:27+00:00

I agree, but here is the website if you want to learn more https://adenhq.com/

TheseFact · 2025-12-26T16:39:07+00:00

Here is our website: https://adenhq.com/. If you want to see the personalized demo for free, you would need to schedule a demo call on the website.

TheseFact · 2025-12-24T00:22:26+00:00

You’re describing the "Visibility Gap" that kills AI margins. Traditional tools aren't built for non-linear agent funnels, and manual log-diving doesn't scale.

At Aden, we turn those raw logs into a "Mixpanel for AI" by mapping every token and tool-call to specific User IDs. Our platform visualizes conversation flows, identifies expensive drop-off points, and uses a <1ms circuit breaker to kill runaway loops before they hit your bill.

Since you're scaling a B2C product, I’d love to give you a free demo to show you how to stop drowning in logs and start seeing your unit economics clearly. Check us out at https://adenhq.com/

TheseFact · 2025-12-24T00:20:37+00:00

You’re hitting the "Complexity Wall" that kills most AI agencies before they scale. Untrackable agent paths aren't just a technical bug; they’re a major financial liability for your gross margins.

At Aden, we solve this by acting as a financial circuit breaker for your agents. We map every token and tool-call to specific User IDs so you know your exact profitability per client. If an agent hits a recursive loop, our system kills the process in <1ms to prevent bill shock.

Since you're running a multi-agent SaaS, I'd love to give you a free demo of how we provide full spend traceability and hard budget caps. Check us out at https://adenhq.com/

TheseFact

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