Turn design-review notes into a client recap with AI at the cursor
The short answer: after a design review, speak your verified inputs (drawing reference, decision, constraint, next step) at the text field where the recap will live. Ask the AI to arrange them into a clear structure that keeps client decisions apart from open questions. Then check the draft against the drawing set before it goes anywhere. SpeakLingo is designed to support this with online transcription and AI contextual formatting, and a spoken AI request can produce text at a compatible focused Windows text field. You review the result, and you decide whether and when to send it.
This article covers how to structure that workflow, how to set it up safely, a before-and-after example, a reusable spoken template, a review checklist built around drawing revisions, and a way to measure whether the process helps you.
What a client recap has to do
A design-review recap has more jobs than summarising what was said. The client reads it to learn what they agreed to, what is undecided and what they need to do next. Your project team reads it to see what changed on paper. Later, someone may return to it as a record of what was communicated at the time.
Raw review notes rarely serve all of those readers. They usually follow the order of the conversation. Decisions sit beside tentative remarks, constraints surface halfway through a sentence about something else, and the drawing a comment referred to may be implied rather than named. Turning that into a recap means sorting, labelling and checking.
A useful recap tends to separate four categories:
- Decisions: what the client confirmed, tied to a drawing reference.
- Constraints: budget limits, site conditions, programme dependencies or client preferences that bound the next round.
- Open questions: items that need an answer, with an owner for each.
- Next steps: who does what, tied to the relevant drawing or document.
These categories are an illustrative writing practice. Your practice, your contract and your client relationship decide what a recap must contain and how formal it should be.
Where Syping fits in the workflow
SpeakLingo is built around Syping, the idea of combining speaking and typing in the place where your cursor already is. You can read the Syping explanation for the concept. In this workflow, it gives you two steps you can combine:
- Transcription of your verified inputs. You speak the facts as you have confirmed them: drawing reference, decision, constraint, next step. Online transcription handles the speech-to-text step.
- A spoken AI request. You tell the AI what to do with those inputs, for example to produce a client recap with a clear professional structure and to flag missing facts. AI contextual formatting arranges the text, and the draft appears at the focused field.
The intended benefit is fewer hand-offs. A common routine without this is to type notes, copy them into a separate AI window, write a prompt, copy the result back and reformat it in the email or document. Where the cursor workflow fits your setup, the request and the output happen in the place you are already writing, so there is less moving between windows.
Some boundaries apply:
- SpeakLingo is not universally compatible. It works with a compatible, focused Windows text field. Test your usual email client, document editor or project-management comment box before relying on it.
- AI requests need an internet connection, an enabled service, your consent and the relevant access.
- Audio and text, and optionally screen context if you opt in, may be sent to remote services to process your request. Consider that before you dictate anything about a client, a site or a commercial arrangement, and follow your practice's own information-handling rules.
- The AI drafts text. It does not decide anything for you, and the decision to send stays with you.
Set up the workflow before you rely on it
A few minutes of setup keeps a draft from reaching a client before you have read it.
One boundary matters most for architects. Use the supported AI Task workflow, and give the instruction and the necessary facts together in that single request: the drawing sheet and revision, the status of each decision, the constraint and the next step with its owner. Dictation alone does not enable AI. Earlier dictations, text already in the email or document field, and whatever is on your screen are not automatically available to the AI. Screen context is a separate opt-in and may be sent to a remote service. If a fact is not in the request, the AI does not have it, so do not expect it to recover a drawing revision from your notes or from the open drawing set.
- Turn off automatic Enter or send behavior. SpeakLingo has an optional setting that can press Enter after text is delivered. In some apps, that could send a message. For recap work, keep it off, so the draft lands in the field and waits for you.
- Test in the field you will actually use. Open a draft email, a document or a comment box and confirm that spoken text appears where the cursor is. If a field does not behave, write the recap there by another method.
- Leave the recipient blank. In an email, add the client's address only after you have reviewed the text. This is a habit of your own and does not depend on any product setting.
- Check the online requirements. AI requests need a connection, an enabled service, your consent and the relevant access. Decide beforehand whether you will opt in to screen context, and what you are comfortable speaking.
- Review the draft before sending or saving. Read the full text in the field before you do anything else with it.
Prepare verified inputs before you speak
The quality of an AI-formatted recap depends on what you feed it. The example prompt for this workflow is deliberately restrictive: use only the verified inputs and flag missing facts rather than inventing them. That instruction only helps if you have already separated what you know from what you think you remember.
Before you speak, open your review notes and the drawing set side by side and do four things:
- Confirm the drawing reference and revision for each item. If a note says “the kitchen layout,” find the sheet number and the revision that was on the table.
- Mark each item as decided, conditional or open. A client who said “that looks good, probably” has not made a decision, and the recap should not present it as one.
- Attach constraints to the items they affect. A budget ceiling that applies to one package should not read as a project-wide rule.
- Write the next step with an owner. “Check structural implications” is vague. “Architect to confirm with the structural engineer” tells the client who is acting.
You do not need polished sentences. Short, clear fragments are enough to speak, and you can leave the arrangement to the AI request. The factual content stays with you.
Worked example: before and after
This example is illustrative, not observed output from the product. The project, drawings, people and details are fictional and do not describe a real client, a test or a result.
Before: raw notes
Review with the Hartley family, rear extension. Looked at A-201 rev C, they like the glazed corner but want to see the other option on the sliding door before they commit. Roof lights over the kitchen are a yes, A-310 rev B. Budget, they said they want to stay under the figure we discussed, haven't confirmed whether landscaping is in or out of that. Need to ask them about the finish for the internal stair, nothing decided. I need to send the updated section once the engineer replies. They also mentioned the neighbour might have views about the height, don't know if anything's been said to them.
This is a faithful record of a conversation, but a client reading it cannot easily tell what has been approved. The budget remark gives no number and does not say whether landscaping is included. The neighbour comment could be a risk or a passing remark.
The spoken request
After checking the drawings, the architect places the cursor in the draft email and speaks the verified inputs followed by the instruction:
Using only these verified inputs, turn design-review notes into a client recap. Inputs: A-201 rev C, glazed corner, client likes it, wants to review sliding door alternative before deciding, so not yet decided. A-310 rev B, kitchen roof lights, confirmed. Constraint: client wants to stay within the budget figure discussed; whether landscaping is inside that budget is not confirmed. Open question: internal stair finish, no decision. Next step: architect to send updated section once the engineer replies. Neighbour's possible view on height was mentioned, no action recorded. Use a clear professional structure. Flag missing facts; do not invent them.
After: AI-structured draft, before architect review
Subject: Recap of design review: rear extension
Thank you for your time at the review. This summary separates what was confirmed from what is still open.
Confirmed - Kitchen roof lights, shown on A-310 rev B.
Pending your decision - Glazed corner (A-201 rev C): you indicated you like this option and asked to review the sliding door alternative before deciding. This is not yet confirmed. - Internal stair finish: no decision has been made.
Constraints noted - You would like to stay within the budget figure discussed. It has not yet been confirmed whether landscaping falls inside that budget.
Next steps - Architect: send the updated section once the engineer replies.
Items to confirm - The budget figure referred to, and whether landscaping is included. - Whether any action is needed regarding the neighbour's possible comments on height. This was mentioned, but no action was recorded. - When the sliding door alternative will be presented.
What the architect still does
The draft is a starting point. The architect checks that A-201 and A-310 are the revisions that were actually discussed, and that “confirmed” for the roof lights matches what the client said. They decide whether the neighbour remark belongs in a client-facing document at all, and whether the final item (timing for the alternative) is a question they want to put to the client. They also adjust any wording that reads more formally or more casually than the practice would write. In this illustrative draft the gaps are flagged and not filled with invented specifications. In real use, the architect's review is the check that this holds.
A reusable spoken template
Speak the inputs first, then the instruction. Repeat the item block for each drawing item and keep each block short.
Using only these verified inputs, turn design-review notes into a client recap. Inputs: Item one: drawing reference [sheet and revision], decision [confirmed, conditional or open, plus what the client said], constraint [if any], next step [action and owner]. Item two: drawing reference [sheet and revision], decision [...], constraint [...], next step [...]. Use a clear professional structure with sections for confirmed decisions, pending decisions, constraints, open questions and next steps. Flag missing facts; do not invent them.
Optional additions to speak after the core request:
- “Keep the tone suitable for a private client.”
- “Keep it to one page.”
- “List drawing references in brackets after each item.”
- “Do not add specifications, dimensions or product names that I have not given you.”
The last line repeats the boundary already in the base request. Saying it twice is a useful reminder of what to look for when you review the draft.
Matching note types to a spoken approach
| Note type | How to speak it | What to check afterwards |
|---|---|---|
| Confirmed decision | State drawing and revision, then the client's confirmation in plain words | Does the revision match the drawing the client saw? Was it a firm yes? |
| Conditional approval | Say “conditional on” plus the condition | Is the condition still visible in the draft? |
| Constraint | Name what it applies to (budget package, site, programme) | Has a local constraint been generalised to the whole project? |
| Open question | State the question and who needs to answer it | Is there an owner? Can a client answer it as phrased? |
| Next step | Name the action, the owner and the related drawing | Is the owner correct? Has a date appeared that you did not give? |
| Passing remark (for example, a third-party concern) | Label it “mentioned, no action recorded” | Should it appear in a client-facing recap at all? |
Role-specific review checklist for architects
Run this after the draft appears and before you send or save anything.
Drawings and revisions - Does every drawing reference exist, and is each revision the one discussed? - Does the draft mention any drawing you did not name in your input? - If a revision has since changed, does the recap say which revision the decision applied to?
Decisions and status - Is anything marked “confirmed” that the client only said they liked? - Do conditional decisions still show their conditions? - Are open items clearly separated from decided ones?
Specifications and numbers - Has the draft introduced any dimension, material, product, cost, date or standard you did not provide? Delete it or verify it against project documents. - Do the figures you did speak match your records exactly?
Constraints and risks - Is each constraint attached to what it affects? - Is anything in the recap something you would prefer to raise in conversation before it appears in writing?
People and next steps - Does each next step have the right owner? - Are consultants, contractors and third parties named accurately?
Tone and fit - Does it sound like your practice? - Does anything read as a commitment on fee, programme or scope that you did not intend? - Is it appropriate to share, given your contract and the client's expectations?
Process - Is automatic Enter or send behavior turned off, so Enter was not pressed after delivery, and have you reviewed the draft before sending it yourself? - Did you read the full text in the field where it was produced, and will you keep the final version in your project records according to your practice's procedures?
This is a working checklist, not professional advice. Your professional responsibilities, contracts and applicable requirements determine what you must check and record.
Measuring time to reviewed output
Whether this workflow helps depends on your meetings, your notes and your tools, so measure it yourself. The useful metric is time to reviewed output: the time from starting the recap to the moment you have checked it and consider it ready for you to send.
A simple method:
- Define start and finish. Start when you open your notes to write the recap. Finish when the reviewed version is ready for your own send action.
- Log a handful of recaps in your usual method. Record the time for each, with the project type and the number of items.
- Log the same for the spoken workflow. Include preparation (verifying inputs), speaking and review. Leave none of these out, because review is the step that protects accuracy.
- Record corrections. Note what you had to change: wrong revision, overstated status, tone, missing owner. A recap that arrives quickly but needs heavy correction has saved little.
- Compare like with like. A five-item recap and a twenty-item recap should not be compared directly.
- Repeat across several projects before drawing a conclusion, since a few data points can mislead.
If your notes were already well verified, the spoken approach may mainly reduce reformatting. If they were loose, you may spend longer on preparation, which is worthwhile time in itself. Either way, your own log gives the answer, and nothing in this article should stand in for it.
Language, connectivity and privacy
Online transcription supports 99+ languages. If you work with clients in a language other than English, speak in a supported language that suits you and the client. This describes transcription only. It does not make SpeakLingo a translation tool, and it does not guarantee AI output in every language, so read any AI-formatted text with extra care in a language where you are less confident.
The AI request step needs an internet connection, an enabled service, your consent and the relevant access. If your connection drops, online AI is unavailable. SpeakLingo is designed with an offline English transcription fallback that works only if it has been configured with a local runtime. It can help you capture words while offline, but it does not provide AI formatting. Transcription has its own mode, setup and access requirements, so AI being unavailable does not show that transcription is available. You would then structure the recap manually or wait until you are back online.
Because audio and text, and optionally screen context if you opt in, may be sent remotely, decide in advance what you are comfortable speaking. Some architects may prefer to leave client names, addresses or commercial figures out of spoken inputs and add them by hand afterwards. That choice belongs to you and your practice.
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Frequently Asked Questions
Can the AI send the recap to my client?
Sending is your decision, and the workflow is built around you reviewing the draft first. SpeakLingo produces text at a compatible focused Windows text field. An optional Enter-after-delivery setting can send a message in some apps, so turn automatic Enter or send behavior off for recap work, read the draft and send it yourself.
Will it know which drawing revision is current?
Do not assume so. Say the revision as part of your input, then verify it against your drawing register or document management system before sending. Checking revisions remains your responsibility.
What happens if I forget a detail, such as a date or a dimension?
The example prompt asks the AI to flag missing facts and not invent them. That is an instruction and not a guarantee, so read the draft for any detail you did not supply. Remove or verify anything unfamiliar.
Does it work in every email client or document editor?
Not necessarily. SpeakLingo is not universally compatible. It works with compatible focused text fields on Windows, so try it in the applications you use before depending on it for client work.
Can I use it without an internet connection?
Online AI requests need an internet connection. If your connection is interrupted, an English-only offline transcription fallback may help you keep capturing words, but only if it has been configured with a local runtime beforehand. AI formatting and spoken AI requests are not available until you are back online.
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