PROMPT COACHING, IN THE MOMENT
Get it right on the first prompt
Most prompts miss on the first attempt, so you rewrite, resend, and burn through your usage limits getting to the answer you wanted. Clew scores your prompt before you send it and tells you the one thing to fix.
Most prompts fail one of two ways. Clew fixes both.
Politeness and hedging don't reach the model, they only dilute your signal. Say the thing.
A prompt this open has no right answer. Say who it is for and what matters most.
Clew applies the prompting principles these models are built for. It won't guess what you meant, it makes you say it.
Built for trust, not surveillance.
Never stores prompt content
Keeps the pattern, not your words.
Your scores are yours
You see your own progress. Nobody else does.
Never sold, never trained on
Your writing is not a product and is not training data.
Built and hosted in the EU. Read the privacy notice for exactly what is kept and for how long.
The model is not the problem. The prompt is.
You ask, it misses, you rephrase, it misses differently. Three attempts later you have the answer you could have had first time. Nobody ever taught you how to ask, because these tools arrived without a manual.
Around 40% of the time AI saves is lost again to reworking weak or off-target output.
Workday, 2025You write the same prompt three times.
The first attempt is too vague to have a right answer. The second is closer. By the third you have written more words correcting the model than it would have taken to ask properly once.
Every retry costs you twice.
Once in minutes, and once in usage. Free plans run out, paid plans have caps, and API keys bill per token. A retry is not free on any of them, and a long rambling prompt costs more than a short precise one before the model has answered anything.
You get no feedback, so you do not improve.
A bad answer tells you the model failed. It does not tell you which part of your prompt caused it. Without that, the tenth prompt you write is no better than the first.
It coaches the principles these models are built for.
Clew sits where you already work, inside the AI tools you already use. Nothing new to learn, nothing to move.
One coaching layer across every tool
Clew rides along inside Claude, ChatGPT, Copilot and Gemini as a single layer. Install it once and it works everywhere you prompt.
Coaches in the moment
It catches the vague prompt before it is sent and hands back the one thing that is missing, like audience, length or format.
Coaches the habit, not just the task
Fix the prompt and you have fixed one task. Coach the habit and the person gets better over time.
Around 40% of the time AI saves is lost again to reworking weak or off-target output.
Workday, 2025The product, not a promise.
Two live views of Clew: the coach inside the chat, and your own score climbing week by week.
Interactive: pick a weak attempt, apply the suggested move, and watch the resolution score lift.
Be one of the first to use it.
Clew is in closed testing. Leave your email and we will get in touch when there is a place for you. No card, no commitment, and we will not add you to a mailing list.
Stop rewriting the same prompt.
Get it right the first time.
Get early access
The same coaching, across a whole team.
Clew starts with the individual because that is where the habit is. A team version is being built on the same foundation, with the same rule that decides everything else here: the coaching belongs to the person, and nobody gets to read over their shoulder.
Aggregate only, never by name
How the team is doing as a group. No individual scores, no leaderboards, no way to work back to a person.
Where coaching would help most
Which habits show up across the team, so training goes where it is actually needed rather than everywhere at once.
The same privacy promise
Prompt content is still never stored. A team plan does not change what Clew keeps, only who sees the totals.
An early look at the team view. Aggregate only, and not something you can buy yet.