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Optimizing workflows

CCAO-F 7.311 min read · checked 21 September 2026

Task statementOptimize workflows for efficiency and effectiveness

Where the time actually goes

Every task from scratch

  • Re-explaining the same background each time
  • Requirements dribbled out over many messages
  • One enormous conversation running for weeks
  • Every output checked to the same depth

Set up once, then run

  • Standing context lives in the project
  • One complete brief, related questions batched
  • A fresh chat per task, with a clean brief
  • Checking depth matched to what is at stake
Four habits, four fixes. None requires a new tool — they are all rearrangements of work you are already doing.

Front-load the standing context

If you do the same kind of work repeatedly, the background belongs somewhere it does not have to be retyped. Anthropic’s own guidance is to upload your core working documents to the project knowledge section when starting a project, because documents uploaded to a project are cached for future use, and cached portions count less against your limits than new content. That is the efficiency argument. The quality argument is stronger: context you set up deliberately once is better than context you improvise under time pressure fifteen times.

Two maintenance details come with it. Caches expire after a period of inactivity, so an occasional project will not always be working from a warm cache. And project instructions should be kept concise, with unused files removed — a project that has accumulated eleven documents, four of them superseded, costs more and answers worse. Setting a project up is 5.1; keeping it current is 5.4. What belongs here is the recognition that this is an efficiency decision as well as a configuration one.

Fewer, fuller messages

The second habit is drip-feeding. A request goes out half-formed, the answer is nearly right, a correction follows, then another, then a change of format. Each of those round trips re-sends the whole conversation so far. The documented advice is the opposite pattern: give clear, detailed instructions or questions in each message, batch similar requests together, combine related questions into one message, and take a moment to review your message for clarity and completeness so that fewer follow-ups are needed. For editing work, send the entire text in one message rather than in pieces.

There is a related discipline inside a conversation: refer back to previous information instead of repeating it. Pasting the same brief again three messages later does not remind Claude of anything it already has, and on paid plans you can search previous conversations and reference them from a new chat rather than reconstructing them.

Drip-fed versus briefed

Six round tripstext

1. "Write a project
update."
2. "Make it shorter."
3. "Add the budget
position."
4. "It's for the
steering group, not
the team."
5. "Can you use our
RAG statuses?"
6. "Actually put risks
at the end."

One brieftext

Write a project update
for the steering group.

250 words. Order:
progress, budget
position, decisions
needed, risks last.

Use our RAG statuses
(red/amber/green) for
each workstream.

Attached: this month's
tracker and last
month's update.
The right-hand version is one message instead of six, and it is also a better brief — the constraints were always in the writer’s head, just never written down.

Knowing when to start again

The third habit is the conversation that never ends. The context window is described in the documentation as Claude’s working memory — how much content it can process and remember at once — and it varies by model: newer models support up to a million tokens, while others offer five hundred thousand or two hundred thousand. Long conversations run into it, and there are two consequences. Quality drifts, because an enormous thread contains every wrong turn as well as every good one. And conversations that trigger automatic context management, where earlier messages are summarised, consume more of your usage limit, because that summarising is additional work.

The remedy is the one the documentation gives: start a new conversation, or use features such as projects to work with larger amounts of information more efficiently. A useful rule of thumb is one conversation per deliverable. When the thing you are making changes — a different document, a different decision — open a new chat and bring across a short clean summary rather than a week of history. Managing context and knowing when to restart or summarise is 3.4; the point here is that it is an efficiency lever, not only a quality one.

LeverWhat it doesCost of getting it wrong
Project knowledgeStanding documents cached and reusedA bloated project with stale files
One complete briefRemoves the correction round tripsA long brief for a one-line question
Fresh chat per deliverableAvoids drift and context management overheadLosing context you actually needed
Turn off unused featuresLess work per messageTurning off thinking on a task that needed it
Draft, review, refineBetter output through a deliberate extra passSpending three passes on a routine email

Efficiency is not the same as effectiveness

The objective names both, and they can pull in opposite directions. The cheapest possible workflow is one message, no attachments, no checking — and for a routine internal note that may be exactly right. For anything consequential, the better workflow deliberately costs more. The documented chaining pattern is to generate a draft, have it reviewed against explicit criteria, then have it refined on the basis of that review: three passes where one would have done, because inspecting the intermediate output is the point.

So optimisation means matching the depth of the workflow to what is at stake, not minimising everything. An internal summary nobody will act on needs one pass. A tender response worth two million, a letter to a regulator, a figure that will appear in a board pack — those earn the extra passes and the verification, and which outputs cross that line is covered in 2.4. A workflow that treats both the same is unoptimised in one direction or the other.

A workflow audit

  • Passes: Standing documents live in a project, not re-uploaded each timeFive bid documents moved once
  • Check: The brief is complete before the first message is sentFormat still settled by correction
  • Fails: Related questions are batched rather than sent one by oneNine messages where two would do
  • Fails: One conversation per deliverableA single thread running since March
  • Missing: Unused tools, search and thinking switched off for routine workNever reviewed since setup
  • Passes: Checking depth matches what is at stakeTender answers verified; internal notes not
Run this over a task you do weekly. The failures below are the usual ones, and each has a fix that takes under an hour.

Traps the wrong answers are built from

Tempting but wrongDo this instead
Re-uploading the same background documents for every taskPut standing documents in a project, where they are cached and reused.
Drip-feeding requirements across many short messagesWrite one complete brief and batch related questions together.
Running one conversation for weeks across many deliverablesStart a fresh chat per deliverable, carrying a short clean summary.
Re-pasting context the conversation already containsRefer back to it, or search previous conversations from a new chat.
Optimising every workflow for the lowest possible costMatch the number of passes and the checking depth to what is at stake.
Letting a project accumulate superseded filesReplace rather than add, and remove files that are no longer used.

You should now be able to

  • Identify the constant part of a repeating task and move it into shared setup.
  • Write one complete brief instead of a sequence of corrections.
  • Explain why very long conversations cost more and drift, and when to start fresh.
  • Name the product levers that reduce work per message, and their trade-offs.
  • Decide which outputs justify a draft-review-refine pass and which do not.

Practice questions

Original questions written for this lesson, in the exam’s style. Answer first, then open the reasoning — every option is explained, including why the wrong ones are tempting.

  1. Question 1

    Six analysts each produce a monthly client report. Every month, each of them uploads the same methodology note, glossary and template into a new chat, then re-explains the report’s structure before asking for a draft.

    What is the most effective optimisation?

    1. AAsk each analyst to write a longer, more detailed first prompt.
    2. BPut the methodology, glossary and template into a shared project.
    3. CHave all six analysts work in one long shared conversation.
    4. DSwitch to a model that offers a substantially larger context window.
    Show answer and reasoning
    1. AIncorrect. A better single prompt still leaves six people re-supplying identical material every month.
    2. BCorrect. The repeated material becomes standing project knowledge, cached and reused, and the six analysts stop diverging.
    3. CIncorrect. A single thread spanning six analysts and many months is exactly the pattern that drifts and triggers context management overhead.
    4. DIncorrect. A bigger window does not remove the repeated uploading, and the constraint here is workflow rather than capacity.
  2. Question 2

    A programme manager has kept one conversation open since March for everything to do with a transformation programme. Answers have become vaguer, and she notices she is reaching her usage limit sooner than colleagues doing similar work.

    Which two statements best explain what is happening? (Select 2.)

    1. AA very long thread carries every earlier wrong turn alongside the useful material.
    2. BConversations that trigger automatic context management consume more of the usage limit.
    3. CUsage limits are calculated per conversation, so one long chat is penalised.
    4. DClaude forgets everything older than a fixed number of messages.
    5. EStarting a new chat would lose all the programme context permanently.
    Show answer and reasoning
    1. ACorrect. Quality drifts because the conversation's working memory is full of superseded detail as well as current facts.
    2. BCorrect. Summarising earlier messages is additional processing, which is documented as increasing usage.
    3. CIncorrect. Usage depends on length, complexity, features, model and effort level, and is shared across surfaces rather than charged per thread.
    4. DIncorrect. The limit is a context window measured in tokens and varying by model, not a fixed message count.
    5. EIncorrect. A short clean summary carries the needed context across, and on paid plans previous conversations can be searched.
  3. Question 3

    A team has cut its tender-response workflow to a single message with no attachments and no review pass, and is pleased with how quickly answers now appear.

    What is the strongest objection?

    1. ASingle messages always produce worse writing than multi-turn conversations.
    2. BTenders are high-value work that earns a review-and-refine pass and verification.
    3. CThey should attach more documents to make fuller use of the context window.
    4. DRemoving attachments breaches the usage policy for business documents.
    Show answer and reasoning
    1. AIncorrect. A complete single brief is often better than a drip-fed exchange; the problem is not the message count.
    2. BCorrect. Optimisation means matching depth to stakes, and a consequential document is where the extra passes pay for themselves.
    3. CIncorrect. Filling the window for its own sake adds cost and noise rather than improving the answer.
    4. DIncorrect. No such rule exists, and the concern here is output quality rather than permission.

Sources

Drafted with AI assistance and checked against the sources above; expert review is in progress. Spotted an error? Tell us and it gets fixed, dated and listed on how this is written.