Convert concepts, style, and tone in source language

Convert concepts, style, and tone in source language — real work, not an imagined feature: named inside 4 evidenced career tasks. Below are four ready AI prompts for it, one per height of help: do it, make it easier to accept, decide when you are stuck, and change the pattern for good.

4career tasks name it
3prompt heights

The four heights

The same task, four distances: today's deadline, the next reviewer, the stuck moment, the pattern.

Improve — make it easier to accept

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Before I send this to the ethics reviewer, make approval easier. Put the participant safety…
Before I send this to the ethics reviewer, make approval easier. Put the participant safety paragraph before methods, replace vague promises like ‘robust safeguards’ with concrete steps and named standards, and mark any claims that need citation. Highlight three sentences that could be interpreted as coercive or persuasive and suggest neutral rewrites.

Decide — diagnose the stuck moment

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The funder’s program officer wants a punchy, emotive hook in the proposal, but the ethics board…

The funder wants emotive language we must strip for ethics.

The funder’s program officer wants a punchy, emotive hook in the proposal, but the ethics board will require neutral language and may delay approval. I’m stuck between pleasing the funder and avoiding ethics rework. What’s the safest way to satisfy the funder’s request without triggering an ethics revision cycle?

Become — change the pattern

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Our proposals hit delays because communications drafts and the ethics review keep trading reworded…

We repeatedly rework proposals between comms and ethics at the last minute.

Our proposals hit delays because communications drafts and the ethics review keep trading reworded sections at the eleventh hour. Where is the time and credibility draining out of this handoff, and recommend one cross-check or shared template to stop repeated rewrites so proposals move from punchy copy to ethics-ready text without late-stage firefights.

Where the evidence lives

Who was seen doing this, and what people really ask.

Software tasks in the LLOS Work Atlas come from evidence, never a feature list: careers attested to do the work, real job descriptions, and the questions people actually ask (with their view counts). Facets — feature, workflow, troubleshoot, administer, deploy, scale — are open metadata: the work decides, not a taxonomy.
Copyright © LLOS.ai · 2026 — original pedagogy, voice, and design — all rights reserved.

The rest of the map

Same library, five ways in.