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AI agent for translators

Client Query List Management Agent

One tracked query list where each answer is applied consistently to the draft

CommunicationAutomationWriters
See how it worksGet access
Client Query List Management Agent: what goes in, what the agent does and what you get

What it does

Translators meet ambiguous source text all the time, and questions to the client get scattered across emails, so work stalls. This agent collects ambiguities while translating, groups them into one query list with context and options, and tracks replies. It applies each answer to the draft and rechecks the segments it touches, including repeats elsewhere. It chases overdue replies and notes which sections are blocked. The translator approves the query list and the changes. Edge case: an answer to query 3 changes how a term was translated 14 times earlier, so the agent finds each place and proposes the update.

How it works

Follow the arrows from top to bottom. The orange dashed arrow is the loop: when a check fails, the agent goes back and tries again.

Start and resultWhat it doesA check on its own workWaits for your OKGoes back and retries
ApprovedYes, continueYes, continueApprovedNoNo 1 STARTS WHEN Translation in progress 2 USES A TOOL Read the source and draft to find ambiguous segments 3 DOES Group related ambiguities into queries with contextand options 4 YOU APPROVE Translator approves the query list 5 USES A TOOL Send the list and track replies 6 CHECKS THE RESULT Has the client replied by the chase date? If not: draft a polite reminder and mark blockedsections. Back to step 5. 7 USES A TOOL Read the replies and find every segment each answeraffects 8 DOES Propose changes to the draft 9 CHECKS THE RESULT Is the draft consistent with the answers across allsegments? If not: recheck the segments and fix inconsistencies.Back to step 7. 10 YOU APPROVE Translator approves the changes 11 RESULT Resolved query list and updated draft
Read the steps as a list
  1. Translation in progress
  2. Read the source and draft to find ambiguous segments
  3. Group related ambiguities into queries with context and options
  4. Translator approves the query listThe agent waits here for your OK.
  5. Send the list and track replies
  6. Has the client replied by the chase date?If not: draft a polite reminder and mark blocked sections. Back to step 5.
  7. Read the replies and find every segment each answer affects
  8. Propose changes to the draft
  9. Is the draft consistent with the answers across all segments?If not: recheck the segments and fix inconsistencies. Back to step 7.
  10. Translator approves the changesThe agent waits here for your OK.
  11. Resolved query list and updated draft

How it decides

An ambiguity becomes a query when two readings change the translation. Answers are applied to all matching segments.

  • Raise a query only when two readings change the meaning
  • Group queries by topic into one message
  • Chase after 2 business days
  • Apply an answer to all matching segments

Make it yours

Every agent is a starting point. You choose these settings for your own situation.

  • Chase delay (default 2 business days)
  • Query format
  • Segments to scan
  • Deadline buffer

What keeps you in control

It always asks you first

  • Query list sent to the client
  • Changes to the draft

Hard limits

  • Never sends queries without approval
  • Never guesses a meaning when the client has not answered

It stops when

  • Done: all queries answered and applied
  • Stop: client cannot be reached before the deadline

Set it up

We guide you through the set-up, step by step

Members get the full set-up guide for this agent. No technical skills needed: you copy, paste and upload.

10 minto set it up in your AI
5 AIsChatGPT, Claude, Copilot, Gemini, Grok
  • One set of instructions to paste into your AI, with the clicks for ChatGPT, Claude, Microsoft 365 Copilot, Gemini and Grok
  • The agent then walks you through connecting your own data, one source at a time
  • A downloadable copy with the flow chart, the rules and the full guide
Get access to this agent

An example run

What happensWhile translating a manual the agent logged 9 ambiguities and grouped them into one list. The translator approved 8. After 2 days the client had not replied, so the agent drafted a reminder. Answer 3 changed a term used in 14 segments, and the consistency check found 2 still using the old term, so it fixed those. The translator approved the changes.

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