Discover new food sources

Discover new food sources — 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
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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I need a readable brief on discovering new food sources for the R&D meeting tomorrow. Make the…
I need a readable brief on discovering new food sources for the R&D meeting tomorrow. Make the draft agreeable to read: cut jargon, surface the two best candidate ingredients in the first paragraph, and provide one-line rationales linking each candidate to cost, supply risk, and flavor profile.

Improve — make it easier to accept

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Before I share this with the beverage technologist and the author, make it easy to approve: put the…
Before I share this with the beverage technologist and the author, make it easy to approve: put the supply-risk number and estimated cost per kilo up top, make flavor descriptors findable, and flag any sourcing assumptions that would make procurement hesitate.

Decide — diagnose the stuck moment

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I just told Priya in R&D that we can source a seaweed concentrate at scale; she replied that her…

R&D pushed back on a sourcing claim

I just told Priya in R&D that we can source a seaweed concentrate at scale; she replied that her pilot samples didn’t match flavor claims. I’m worried procurement will commit and fail the pilot. I cannot tell Priya how fast suppliers can scale. Is the likely problem my sourcing optimism or a flawed pilot, and what is the best next move to avoid a costly procurement commitment?

Become — change the pattern

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We consistently lose time because new food-source proposals are rejected late by procurement for…

New-sourcing proposals repeatedly get rejected in procurement

We consistently lose time because new food-source proposals are rejected late by procurement for vague risk reasons. Where are we failing to make sourcing cases persuasive, and what single habit—data to gather or one paragraph to add—would get proposals accepted earlier?

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.