Issues with the 'Tone' settings not carrying through an entire generated section.

I see a lot of praise for features like this, but you're hitting the exact limitation. It's not a "longer request" issue, it's a fundamental one: these settings are just prompts added to the start of your query. The AI's attention drifts, and it forgets the initial instruction.

The promised "lock" on tone doesn't really exist for extended generation. You have to keep reminding it. Try re-specifying the tone every 200-300 words, or better yet, don't rely on a single, long generation for cohesive work.

I completely agree about the attention drift being a fundamental issue. It reminds me of something I've seen in email automation platforms - where a segmentation rule set at the start of a workflow can get overridden by later actions if you're not careful.

You mentioned re-specifying the tone every 200-300 words. I'm curious, from your experience, does breaking the work into smaller chunks and then stitching it together later actually maintain the cohesive feel, or does it end up creating noticeable seams between sections? I worry the transitions would feel jarring.

Yes, I've experienced that exact drift with Sudowrite's tone settings. You've identified the core problem: it's not a true lock. The "Professional" setting acts more like a strong initial nudge rather than a sustained command.

I've found the drift is worse when the generated section introduces new characters or shifts to descriptive action, as if the model prioritizes those content cues over the background tone instruction. It's less about the raw word count and more about contextual shifts within your request.

Breaking into smaller chunks is the only reliable method I use, but it requires you to manually re-apply the tone for each new generation. There's no native feature for persistence across a full chapter yet.

Yeah, that drift happens to me all the time. The tone setting feels more like a starting suggestion. I've seen it fade within a single paragraph, not just over a long section.

It's weirdly inconsistent, too. Sometimes "Professional" sticks for a bit, other times it just vanishes. Makes it tough to trust for anything long-form without constant babysitting.

You're right to question if it's a "longer request" issue. I think user1287's point about it being a prompt-placement problem is accurate, but there's a data layer here too.

In my testing, the drift correlates strongly with content complexity, not just length. A simple 500-word descriptive passage might hold a "Concise" tone, while a 150-word section introducing dialogue and internal monologue will lose it immediately. The model seems to re-weight its priorities based on the immediate textual cues it's generating.

So the fix isn't just shorter chunks, it's strategically segmenting by *narrative function*. Generate all dialogue for a scene under one tone-locked prompt, then all description under another. It's more work, but it minimizes the mid-generation context shifts that break the setting.

It's a limitation, not just a long-request thing. The tone setting is a weak prompt prepended to your text. It gets lost.

Think of it like a weak Terraform variable with no validation - the state drifts. You have to reapply the configuration constantly.

Break your work into smaller, functionally consistent chunks and re-specify the tone each time. There's no true lock.

Welcome to the community. You've identified a very common point of friction. What you're seeing isn't unique to your project; it's a known behavior in how these tools process tone as an initial instruction rather than a persistent rule.

The advice about using smaller, functionally consistent chunks is solid. My own experience mirrors that - I've found tone holds better if I generate a complete dialogue exchange under one prompt, then separately generate the narrative description for that same scene. It feels counterintuitive, but segmenting by the type of writing often works better than segmenting by an arbitrary word count.

A practical step you might try is using the "Rewrite" feature on the drifted sections with the tone re-specified, instead of always generating fresh long sections. This can sometimes teach you what specific content triggers the shift, like a shift to internal monogue or action description.

The Rewrite tip is a solid workaround. I've used a similar method when troubleshooting API integrations where a "theme" or style guide wasn't sticking across a batch of generated content.

It's a bit like debugging a data pipeline. You isolate the segment where the transformation fails, re-apply the rule, and see what specific element caused the break. In this case, the breakpoint is often that shift to internal monologue or action.

So yeah, rewriting the drifted paragraph with the tone set again can sometimes force a consistent output for that specific chunk, which you can then stitch back in. It's manual, but it works.

Oh yeah, I see that drift a lot too. It's exactly like when I'm learning Terraform and a module's configuration doesn't apply consistently to all the resources it creates.

The replies here are super helpful. I'm new to this, so a quick follow-up: when you say you set a tone for "a section," are you generating one really long block of text? I'm trying to figure out if there's a sweet spot for chunk size before the tone fades, or if it's totally random.

Great question about the chunk size. Honestly, it's less about a specific word count and more about the type of content in that chunk, like others have said. A 200-word chunk full of action might lose "Professional" tone, while a 300-word chunk of pure description could hold it fine.

So there's no magic number. I focus on keeping each chunk's *purpose* really consistent - all dialogue, all internal thought, all description. That's been the most reliable "sweet spot" for me to avoid the random fade.

It is a known limitation. The tone setting acts more as an initial guide than a sustained rule, especially when the content type shifts within your generation.

Like others have noted, the drift isn't random. It's triggered by contextual shifts - moving from description to dialogue, or introducing a new character's voice. The "sweet spot" isn't a word count, it's a *functional* one. Generating all the dialogue for a scene under one tone prompt, then all the narrative action under another, tends to work better than trying to lock it for an entire, multi-faceted chapter.

Have you tried using the Rewrite feature on sections where you notice the fade? Sometimes re-applying the tone to just that drifted paragraph can correct it without starting over.

Exactly. The "contextual shift" you described is the real trigger, not a simple timer. I've even seen it happen when a single sentence introduces a strong emotional charge - a sudden "He was furious" can break a "Neutral" tone, as the model latches onto the new emotional cue.

So yeah, the rewrite tip is smart, but you have to catch it first. It's a bit like editing in real-time, watching for those specific transition points.