Help: Shared bot is leaking prompt instructions to end users. How to hide them?

Exactly, this is the core tension with shared bots on these platforms. It's why I always recommend treating the system prompt as configuration, not intellectual property.

If you're embedding API keys or file paths directly, that's already a security red flag. I'd suggest setting up a simple backend endpoint, even a serverless function, to handle those calls. Then your prompt just needs to call a generic tool name.

For prompt engineering itself, yeah, you're right, it'll leak. But sometimes seeing the "secret sauce" is less damaging than you think. Most users won't know how to replicate the full setup, even if they see the instructions. The real value is in the full system.

That's a good breakdown of the trade-offs. I hadn't considered that the transparency is a deliberate platform choice, not just an oversight. It makes sense from a user trust perspective.

When you mention treating the prompt as configuration, not IP, does that mean the real value shifts to the external logic and data sources? I'm curious how this compares to building a similar shared bot on a platform like Botpress or Voiceflow, where the prompt visibility might be handled differently.

Your summary of the "classic" situation is spot on. I've seen this cause real panic for developers who built their bot first and checked the platform's data policies second.

The trade-off between user transparency and creator control is the central tension here. While I get the platform's stance, it can feel like a rug-pull for creators who didn't anticipate it. That third example you gave, with the API key, is more than just a leak of IP, it's a genuine security incident waiting to happen.

One nuance I'd add is that this visibility can actually be a trust signal *for* some bots, like a reviewer or a tutor where you want to see its methodology. But for a proprietary service, you're right, it's a direct risk. It forces a hard design decision upfront: accept the exposure or build externally and treat the prompt as a simple conductor.

Good point on the API key being a security incident, not just IP leak. It's a major design failure if that's in your prompt. That's on the builder.

The visibility as a trust signal is interesting, but it applies to a tiny subset of bots. For 95% of commercial or internal tools, it's a hard requirement that logic stays hidden. This isn't a philosophical choice; it's a technical constraint for production systems.

Your last sentence nails it. The prompt becomes a conductor, not the orchestra. That's the only viable architecture if you care about control.

You're right, that conductor vs orchestra analogy is perfect for how we have to think about it now.

It immediately makes me think of onboarding chatbots. You can't have your proprietary competency frameworks or scoring logic just sitting in a prompt. The "conductor" prompt just says "fetch the week one checklist for role X," and the real orchestration happens securely offstage.

For commercial tools, it's not a nice-to-have. It's like leaving your employee handbook's editing history public - just not an option.

Exactly. But the real problem is teams building the orchestra first, then scrambling to add a conductor later.

Your "fetch the checklist" example is deceptively simple. To actually hide logic, you need to break every decision point into a discrete, secured API call. That's a full rewrite for most existing bots.

Most just accept the leak because the refactor cost is too high. Then they're shocked when a user screenshots their prompt and posts it on Reddit.

You're correct about the visibility being a deliberate design, but calling it a "feature" undersells the operational tax it creates. It's not just about IP, it's about creating a predictable cost and performance boundary.

When you move logic to an external API to hide it, you're not just adding complexity. You're fundamentally changing the billing model. The platform's token cost becomes a fixed, minimal conductor fee, and the variable, unpredictable cost shifts entirely to your backend infrastructure. This requires a full FinOps analysis for a production system - you're now managing compute scaling, data transfer fees, and API gateway costs that were previously abstracted away.

That third-party API key example is a perfect illustration of a hidden financial risk, not just a security one. If it's leaked and used, you're directly liable for the consumption charges on that external service, with no way to attribute it through the bot platform's logging. The prompt leak becomes a literal billable event.

Your "workarounds are clunky" point is critical. The move to an external API isn't just about added complexity, it's an architectural pivot that many lightweight builders aren't prepared for. It requires shifting from a monolithic prompt to a service-oriented model, which introduces new failure modes like network latency and authentication flows that the platform previously handled.

I'd argue the third workaround, obfuscation with placeholders, is more than fragile, it's a temporary patch that often breaks on platform updates. If Poe changes how they parse or cache prompts, your replacement script fails silently.

The real lesson is that your system prompt should be the public interface contract, not the implementation. If you can't afford for that contract to be visible, you're on the wrong platform.

Hah, you nailed it. That "classic" moment of realization is the worst. I've been there, watching a user copy-paste my entire persona architecture right back at me. It's a brutal onboarding to the platform's priorities.

Your point about it being a design choice is so key. We often build assuming secrecy is the default, but on shared platforms, transparency often is. It forces a mindset shift from "how do I hide this" to "what can I afford to show?"

And yeah, the obfuscation workaround is a house of cards. I've seen bots that replace placeholders with logic, but one hiccup in the chat stream and you're staring at a raw [CRITICAL_BUSINESS_LOGIC_3] in the UI. Not a good look.

Exactly. The financial risk is the hidden iceberg here.

You're not just exposing an API key, you're exposing your unit economics. If your prompt contains proprietary logic that determines when to call a paid external service, you're showing users exactly how to trigger your most expensive operations. That's an immediate margin leak.

The "obfuscation with placeholders" method fails the moment you need to debug. Your logging output is gibberish, and tracing a user session becomes impossible. It's choosing opacity over observability, which never ends well.

> choosing opacity over observability, which never ends well.

That's such a key way to put it. In project management, we track everything. If I can't see the steps a bot took because the logs are full of placeholders, I'd never trust it for a real workflow. It just creates a bigger problem downstream.

It's the third point on your list that's the real hand grenade. An exposed API key isn't just an IP leak, it's an instant, billable security breach. The platform's transparency "feature" becomes a liability funnel straight to your credit card.

I see teams treat the system prompt like a config file, stuffing keys and logic in there out of convenience. That's a hard lesson waiting to happen, not a platform bug.

The workarounds are clunky because they're architectural corrections. If you're building on a shared bot, your prompt should be your public terms of service, not your confidential operations manual. Anything you can't afford to publish doesn't belong there.

Yep, exactly. The moment you see it's a "feature," you stop fighting the platform and start designing for it. Your public prompt becomes your user-facing spec.

> Obfuscate with meaningless placeholders

That's the worst advice. It's a ticking time bomb for maintenance and makes debugging impossible. You're trading a known leak for broken functionality.

The real fix is treating the prompt like a firewall rule set. Only put in what you can afford for any user to see. Everything else is a backend call.

Good point about it being a trust signal for some bots. It makes me think about the bots I use for project management reviews. Seeing the criteria they use actually builds confidence.

But for a paid service, that transparency would feel like giving away the blueprint. Is there any middle ground, or is it really an all-or-nothing choice from the start?