Raise funds for scientific research.

Raise funds for scientific research. — real work, not an imagined feature: named inside 7 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.

7career tasks name it
4prompt heights

The four heights

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

Execute — do the immediate task

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We have a concise three-page proposal and a preliminary budget that must be submitted to the…
We have a concise three-page proposal and a preliminary budget that must be submitted to the university seed fund on Friday by 5pm. Send the PDF to Sara Patel in Research Grants and copy Dr. Miguel Torres in Biology for approval, but first ensure the aims section states the impact in one sentence, the budget shows year-one cash needs, and the justification explains why the field season timing matters.

Improve — make it easier to accept

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Before I circulate the draft to the foundation, make it compelling for funders. Put the projected…
Before I circulate the draft to the foundation, make it compelling for funders. Put the projected milestones and the expected outputs at the top, show the three-year budget as annual cash needs, translate technical benefits into farmer outcomes, and flag any risks that would make a reviewer hesitate to fund year two.

Decide — diagnose the stuck moment

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I shortened the impact paragraph to fit the funder’s page limit but the lab worries it loses the…

The program officer asked for a shorter impact statement.

I shortened the impact paragraph to fit the funder’s page limit but the lab worries it loses the translational angle. Who at the foundation will actually read this, what am I risking by keeping the longer version, and is the best next move to attach a one-paragraph lay summary as a separate document so reviewers and internal approvers both get what they need?

Become — change the pattern

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Over multiple applications we lose points because our language is too technical and our budgets…

We repeatedly miss funder language and get scored down for clarity.

Over multiple applications we lose points because our language is too technical and our budgets look untraceable. That costs us interviews and seed awards. Which single drafting habit should we adopt so every proposal has a one-line farmer-focused impact, an annual cash-flow table, and a one-page lay summary before any submission?

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.