If your AI output is close — but still wrong, inconsistent, or unreliable…
I review your setup and pinpoint what needs to change —
from prompts and translations to automations and workflow logic.
AI tools rarely fail in obvious ways. More often, the output is close — but still off. I review the setup, identify the weak point, and show what needs to change.
Common issues I help diagnose
When prompts are close — but still miss tone, structure, or accuracy.
Prompts That Almost Work
Prompts That Almost Work
For AI translations, subtitles, glossaries, and terminology that need better consistency and context handling.
Translations That Drift or Break Context
Translations That Lose Context
When a multi-step AI process works in theory, but breaks or produces inconsistent results in practice
Prompts That Almost Work
Workflows That Break in Practice
Outputs You Can’t Fully Trust
When the result is usable sometimes, but still wrong, inconsistent, or too messy to trust.
Information Gets Lost Between Steps
When information gets lost between tools, steps, or automations and the workflow stops behaving reliably.
Not Sure What’s Actually Wrong
When you need a second pair of expert eyes to check whether your current AI approach makes sense.
What you get
A practical, structured approach to diagnosing AI workflows that are close — but not reliable yet.
Structured Review
-
You share your setup, prompts, outputs, or workflow steps
-
I review where the process starts to break down
-
I look for weak points in logic, handoffs, and output quality
Clarity on
What’s Going Wrong
-
You’ll know exactly what’s going wrong
-
You’ll know what to fix first
-
You won’t waste time guessing anymore
Built for real-world AI workflows that need to work reliably
— not just look good in theory.
Almost-working AI quietly costs time, money, and trust.
I help you find the weak point before you waste more of all three.
Insights on AI workflows that almost work
If your AI workflow feels “almost right” but doesn’t hold up in practice,
these breakdowns show why — and what’s actually going wrong.
Practical breakdowns of real workflow issues — and how to improve them.
AI workflows often look like they work — until you actually rely on them. The output is close. The system runs. But results are inconsistent,... read more
Not every unreliable AI workflow needs a full rebuild. In some cases, the fix is straightforward: enhanced prompts, stronger... read more
When an AI workflow starts producing weak or inconsistent results, the model is usually the first thing people try to replace. The... read more
AI-generated content can look correct but still feel off. Learn why tone, context, and intent often break down — even when the output seems right.... read more