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
+Before I send this to the ministry, make the evaluation easier to use for policy decisions: put the…
Improve — make it easier to accept
+Before I send this to the ministry, make the evaluation easier to use for policy decisions: put the headline recommendation and expected fiscal impact on the first page, make the counterfactual assumptions explicit, flag where data are weak, and add a one-sentence implementation implication for each recommendation.
Pasted it? When the reply comes back, push once: ask it to sharpen the weakest part. — Did this prompt help?
Decide — diagnose the stuck moment
+Our draft says the tax credit increased investment by 8 percent. The treasury analyst emailed…
Decide — diagnose the stuck moment
+The treasury asks whether behavioral responses invalidate our estimates
Our draft says the tax credit increased investment by 8 percent. The treasury analyst emailed asking if increased tax avoidance or shifting investment timelines might be biasing our estimate. I can't fully test those channels with available data. What is the most defensible answer to give now about the robustness of our estimate and the right next empirical step?
Pasted it? When the reply comes back, push once: ask it to sharpen the weakest part. — Did this prompt help?
Become — change the pattern
+On three evaluations we understated the fiscal cost of incentives because off-budget credits and…
Become — change the pattern
+Repeatedly underestimating fiscal costs of incentives erodes trust
On three evaluations we understated the fiscal cost of incentives because off-budget credits and carryforwards weren't tracked consistently. That led to heated meetings and policy reversals. Which habit should I change to avoid this pattern: expand fiscal data requests, add conservative sensitivity bounds, or require treasury sign-off before publication? Recommend one habit and how to implement it across reports.
Pasted it? When the reply comes back, push once: ask it to sharpen the weakest part. — Did this prompt help?
Where the evidence lives
Who was seen doing this, and what people really ask.
Development EconomistEconomic Research AnalystTrade EconomistPolitical ConsultantPolitical Philosopheralso: Evaluate the impact of policies and laws
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.