Home / Writing a request that works
Making a working request last and reusing it
A request that works is refined in small touches rather than started over from scratch, and then fixed into a reusable template where only the part that changes from one task to the next gets replaced.
A request that produces a good result deserves to be kept and adjusted, not rewritten from scratch on every new attempt. Starting from a blank page each time loses what was already working and delays the moment the request becomes reliable.
Adjusting in small touches
When a response drifts slightly from what was expected, the effective reaction is to change a single part of the request, the instruction, the example or the format, then replay the same request on the same case. Comparing the two responses shows precisely what that change produced. Rewriting the whole request on every attempt mixes several changes at once, and makes it impossible to know which one fixed, or broke, the result.
Placing a long document right at the top
When a request comes with a long document, a contract, a report, a long list, its position in the text changes the quality of the response. According to Anthropic's documentation on long context, dated 2 September 2026, placing long documents and data at the top of the request, before the question, the instructions and the examples, improves performance across the board on all models. This simple reflex, pasting the document right at the start rather than at the end, applies just as well to a contract pasted once as to several files delimited by clear tags.
Fixing a request into a reusable template
Here is what a request fixed into a template looks like. Everything is fixed, except what sits between double braces:
Tu prépares un compte rendu pour le pôle {{POLE}}.
Résume le texte ci-dessous en cinq points, un par ligne, sans introduction.
Garde les montants et les dates tels quels.
Texte à résumer :
{{TEXTE}}
For the next task, two replacements are enough, and the four lines of instruction no longer need renegotiating.
Once a request has been adjusted until it regularly produces a good result, fixing it into a template avoids rewriting it for every similar task. The technique consists of replacing the part that changes from one task to the next, a client's name, a date, a text to process, with a marker written between double braces, and keeping the rest of the request fixed. The same template then serves for twenty different tasks, all that is needed is to replace what sits between the braces before each send. The same reflex for precision applies to a summary, by naming the expected length and angle rather than letting Claude choose, and to a request in several languages, by supplying your own list of terms you want translated one particular way rather than another.
From a first attempt to a fixed template
An executive assistant sends Claude a fixed template request, where the client's name and the meeting date are marked by markers between double braces, to prepare meeting minutes. She replaces these two markers and sends the request for twelve different meetings over the course of the month, getting minutes in the same format each time.
Write, in one sentence, what this situation establishes, and in one sentence what it does not establish.
What this establishes: It establishes that the fixed template produced minutes in the same format across the twelve meetings handled that month.
What this does not establish: It does not establish that this same template will produce an identical format on a meeting of a very different type from those handled, in another language for instance.
The three most common miscalibrations
- Too broad This situation shows that the fixed template now suits any type of meeting, whatever its content.
- Too narrow This situation shows nothing more than a string of twelve isolated attempts, unrelated to one another.
- Off target This situation shows that the assistant handles twelve different meetings over the course of a single month.
- Changing a single part of a request at a time, then replaying the same case, shows precisely what that change produced.
- Placing a long document right at the top of the request, before the question and the instructions, improves performance according to Anthropic's documentation.
- A marker between double braces flags the spot that changes from one task to the next in a fixed template.
- Naming the expected length and angle of a summary avoids leaving Claude to choose these two settings alone.
- The same reflex for precision applies to a request in several languages, by supplying your own list of expected terms.
Take a request you send several times a week in almost identical form. Replace the part that changes each time, a name, a date, a text, with a marker between double braces such as {{DOCUMENT}}, save this version in a text file you can reopen, and use it today on your next send by replacing only that marker.
Every datable claim in this lesson links here to the public text behind it. A source that does not open proves nothing.
- Anthropic, best practices for writing a request, section on long context consultée le 2026-09-02