Specialize in subdisciplines of chemistry

Specialize in subdisciplines of chemistry — real work, not an imagined feature: named inside 11 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.

11career 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 publish my specialist bio on the faculty page, make it easy for colleagues and students to…
Before I publish my specialist bio on the faculty page, make it easy for colleagues and students to find: surface three technical strengths up top, add the five most recent publications with DOIs, flag any jargon that will confuse undergrads, and add one line suggesting undergraduate projects.

Decide — diagnose the stuck moment

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I just shifted my profile from broad inorganic chemistry to organometallic catalysis and Alex told…

I updated my specialty to focus on catalysis but a colleague questioned whether that change is too narrow for grant applications.

I just shifted my profile from broad inorganic chemistry to organometallic catalysis and Alex told me funders might see it as too narrow. I fear losing collaborative opportunities but also worry that staying general will make proposals unfocused. Given our department's recent grant successes in cross-disciplinary projects, should I present myself as a dedicated catalysis specialist or as a catalysis lead who is open to partnerships? Which phrasing will help on the next faculty-led grant call?

Become — change the pattern

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Over the last two hiring cycles we lose time because candidates' bios and job ads swing between…

Each time we prepare job ads or bios we argue over the right level of specialty vs. breadth.

Over the last two hiring cycles we lose time because candidates' bios and job ads swing between vague and hyper-specialized descriptions, causing mismatched applicants and rejected candidates. What single drafting habit should we adopt to make specializations clear but collaborative, and how should we structure a one-page template so committees stop rewiring language at the last minute?

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.
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The rest of the map

Same library, five ways in.