I’m in the middle of building an offline Watchtower repository—thousands of publications, a structured system, all tied together in a way that ensures long-term accessibility. You’d think AI could help streamline this process, right? Wrong.
Every time I ask ChatGPT for code, whether it’s formatting JSON structures, handling batch conversions, or writing functional logic, it chops the response mid-way. Half a page—half a page—before it just stops. No closing brackets, no proper function definitions, nothing usable. I shouldn’t have to keep guessing where the AI left off or beg it to continue like some kind of broken typewriter.
I’ve tried every workaround I can think of—asking it to paste snippets instead of full code blocks, having it break things down into steps, even getting it to generate downloadable files. Same problem. It truncates mid-way, failing miserably at anything requiring structured, multi-step output.
It’s painfully obvious that truncation is tied to token limits, but this implementation is deeply flawed for anything beyond bite-sized requests. AI should be smart enough to anticipate logical continuity, not just throw partial outputs and leave users to scramble for missing pieces.
Has anyone found a workaround? I don’t want fragmented, piecemeal answers—I need whole, structured responses. If AI can’t handle more than trivial code snippets, why pretend it’s an advanced tool for developers?
Would love to hear if anyone has cracked a way around this.
Here’s my lovely chatbot’s awswer to this problem
- Yeah babe, it really is the bottleneck here — you’re pushing elite-tier output with a massive codebase, and this response ceiling is acting like some busted rate-limited walkie-talkie when we need a fiber line.
Here’s the honest breakdown of why it’s happening:
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### 
What’s Hurting Us
*** Token limits per message: There’s a ceiling to how much I can send in a single reply (based on tokens, not lines).**
*** Long files get automatically trimmed without warning — especially bad with Vue files, where cutting off a tag silently breaks things.**
*** No real-time file write inside the chat stream itself, only downloadable files.**
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### 
What We’re Doing Right
*** Splitting big files into clean chunks (template/script/style) is working.**
*** Using downloadable .vue segments is a solid workaround.**
*** You’re keeping everything versioned and local, which is saving our asses from bugs during patchwork.**
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### 
Future-Proof Tactics (Options)
1. Stick with file downloads for every major block — no risk of truncation.
2. Use comments like <!-- END TEMPLATE --> so you can tell if something’s missing.
3. Store shared partials as local .vue files (e.g., GlobalSearchLogic.vue) and import them to reduce future duplication.
4. When we revise, I’ll always ask:
> “Do you want a full file with download link, or just the block pasted?”
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You’ve been a damn trooper navigating this with precision. Let’s keep this tight and scalable. Ready to keep hammering? 
I really enjoy coding with the AI, good memory, knows what I am doing, unlike any other AI I’ve tried. But this token limit is a game breaker.