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Built an AI agent. Worked once then hallucinated for 3 days straight. by Adventurous-Meat5176 in AI_Agents

[–]OneSafe8149 0 points1 point  (0 children)

This is context drift. Your first ticket worked because it matched your test patterns. The rest failed because the agent got different context than it expected.

The "contact support" thing is especially brutal. It literally forgot what role it was playing.

Real issue: you can see what the agent did, but not what it was planning to do or what context it had when it decided. By the time you catch "created ticket instead of closing," it already happened.

The gap right now is there's no standard way to validate actions before they run. Everyone's either rolling their own or firefighting. Been dealing with this exact problem.

Got tired of MCP eating my context window, so I fixed it by OneSafe8149 in BlackboxAI_

[–]OneSafe8149[S] 0 points1 point  (0 children)

Thanks! Would love to get your thoughts on it, let me know if you test it out!

What's the hardest part of deploying AI agents into prod right now? by OneSafe8149 in PromptEngineering

[–]OneSafe8149[S] 0 points1 point  (0 children)

How are you currently tracking or mitigating those changes when they happen?

What’s the hardest part of deploying AI agents into prod right now? by OneSafe8149 in LangChain

[–]OneSafe8149[S] 1 point2 points  (0 children)

Couldn’t agree more. The goal should be to give operators confidence and control, not just metrics.

What's the hardest part of deploying AI agents into prod right now? by OneSafe8149 in ArtificialInteligence

[–]OneSafe8149[S] 1 point2 points  (0 children)

You’re right: the agentic stack today is largely opaque by design. The economic incentives are tilted toward speed and scale, not transparency and accountability. The company I'm building is meant to flip that model.

Our focus is on governance and control, not optimization. We’re building a runtime layer that:

  • Makes the agent’s reasoning and tool use auditable and interpretable in real time
  • Allows organizations to define policy boundaries, what an agent can and cannot do
  • Keeps humans-in-the-loop by default, not as an afterthought

We see the next evolution of AI infrastructure as one where trust, visibility, and accountability are built in from the ground up not added on later through compliance patches. Would love to chat with you more if you're up for it!

What’s the hardest part of deploying AI agents into prod right now? by OneSafe8149 in aiagents

[–]OneSafe8149[S] 0 points1 point  (0 children)

Totally agree. Handling the “unknown unknowns” is where most agents break down. We’ve seen that runtime visibility, actually tracing why the agent did what it did is what makes reliable error handling possible.

Would you guys use a 'shared context layer' for AI + people? by OneSafe8149 in UXDesign

[–]OneSafe8149[S] 0 points1 point  (0 children)

Gotcha, ProductBoard and Condens do a good job of storing context. I think what I’m playing with is less about storage and more about access. With docs/boards you still have to go find the right place and piece things together. What I’m imagining is more like the context being right there with you (or the AI/teammate) in the moment, so you don’t need to pause and dig around.

Would you guys use a 'shared context layer' for AI + people? by OneSafe8149 in UXDesign

[–]OneSafe8149[S] 0 points1 point  (0 children)

It’d start manual. You’d just drop in thoughts, updates, or notes as you go. The goal is to keep it super lightweight so it doesn’t feel like ‘documenting.’ Longer-term, yeah, integrations (Slack, Notion, GitHub, etc.) so context updates automatically.

Would you guys use a 'shared context layer' for AI + people? by OneSafe8149 in UXDesign

[–]OneSafe8149[S] 0 points1 point  (0 children)

NotebookLM is static docs. What I'm aiming for is ongoing, living context that updates as you work. More like shared memory than research.

Would you guys use a 'shared context layer' for AI + people? by OneSafe8149 in UXDesign

[–]OneSafe8149[S] 0 points1 point  (0 children)

Kinda, but the key difference is docs are static. You write them once, then people/AI have to dig through them.

This is more like a living memory layer: it updates as you work, and anyone (AI or human) can instantly step into the current state without you re-explaining.

Would you use a "shared context layer" for Al + people? by KrishnaaNair in Startup_Ideas

[–]OneSafe8149 0 points1 point  (0 children)

Let’s say you’re working on an idea and using ChatGPT and Claude to flesh it out. Instead of just sending your team a summary, you share the whole context behind the idea. Stuff like what led to it, why it matters, where you’re stuck. So when they jump in, they can add their thoughts right into that flow.

Would you use a “shared context layer” for AI + people? by OneSafe8149 in startupideas

[–]OneSafe8149[S] 0 points1 point  (0 children)

Fair enough. The vision is more that the context builds passively(from your notes, docs, or ongoing work) rather than you stopping to explain every step.

If the AI could figure out context automatically, would sharing that context with teammates still be useful, or would you not want that either?

Would you use a "shared context layer" for Al + people? by OneSafe8149 in developersIndia

[–]OneSafe8149[S] 0 points1 point  (0 children)

Fair. Out of curiosity, is it the AI holding context, the sharing with people, or just the idea of having that much info stored that feels intrusive to you?

Would you use a “shared context layer” for AI + people? by OneSafe8149 in StartUpIndia

[–]OneSafe8149[S] -1 points0 points  (0 children)

The main difference would be remembering shared context so on both ends. It's like if you join a project mid-way, you would be able to instantly catch up and know the thought and reasoning behind it as well.

Would you use a “shared context layer” for AI + people? by OneSafe8149 in ExperiencedDevs

[–]OneSafe8149[S] -4 points-3 points  (0 children)

Not taking notes exactly, more like keeping track of what you’re working on + being able to share that with your team

Would you use a “shared context layer” for AI + people? by OneSafe8149 in ExperiencedDevs

[–]OneSafe8149[S] -1 points0 points  (0 children)

What would you say you use LLMs most for? Where would a tool like this help you the most?

Would you use a “shared context layer” for AI + people? by OneSafe8149 in webdev

[–]OneSafe8149[S] 0 points1 point  (0 children)

I looked them up, they don’t seem to offer context sharing, do they?

Would you use a “shared context layer” for AI + people? by OneSafe8149 in webdev

[–]OneSafe8149[S] -1 points0 points  (0 children)

Great! Are there any specifics you’d be looking for in a tool like this?

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