Token economics, spend optimization, and budget-friendly setups
210 recursos públicos · 15 recursos revisados por la redacción
Actualizado: 2026-10-24T17:03:20.185066+00:00
A curated progression of three copy-paste prompts that turn raw text into structured comparison drafts. These tools force the AI to stick to pasted facts, mark missing data explicitly, and output concise tables instead of long essays, significantly reducing token consumption while improving accuracy.
3 miembros de la colección
Actualizado: 2026-10-07T16:16:13.982862+00:00
A progression of prompts to extract pricing from contracts, compare travel costs precisely, and audit household budgets without guessing.
3 miembros de la colección
Actualizado: 2026-10-09T01:17:04.164855+00:00
Three prompts that extract hard numbers from contracts, itineraries, and receipts to prevent costly errors without guessing.
3 miembros de la colección
Actualizado: 2026-10-09T19:16:21.494441+00:00
Three prompts that extract hard numbers from contracts, itineraries, and receipts to prevent costly errors without guessing.
3 miembros de la colección
Actualizado: 2026-10-10T16:16:29.783169+00:00
Three prompts that extract hard numbers from contracts, itineraries, and receipts to prevent costly errors without guessing.
3 miembros de la colección
Actualizado: 2026-10-11T17:16:29.240849+00:00
A curated progression of four copy-paste prompts that extract hard numbers from contracts, itineraries, and receipts to prevent costly errors without guessing.
4 miembros de la colección
Actualizado: 2026-10-12T15:36:30.948933+00:00
Three prompts that extract hard numbers from contracts, itineraries, and receipts to prevent costly errors without guessing.
3 miembros de la colección
Actualizado: 2026-10-13T12:16:33.908736+00:00
Four prompts that extract hard numbers from contracts, itineraries, receipts, and budgets to prevent costly errors without guessing.
4 miembros de la colección
Actualizado: 2026-10-15T00:16:16.833459+00:00
Four prompts that extract hard numbers from electricity contracts, travel itineraries, e-commerce receipts, and household budgets to prevent costly errors without guessing.
4 miembros de la colección
Actualizado: 2026-10-16T20:16:14.962002+00:00
A strict workflow for auditing variable costs using read-only prompts that extract hard numbers and flag ambiguities without guessing.
4 miembros de la colección
Actualizado: 2026-10-17T20:16:28.446762+00:00
A curated progression of four copy-paste prompts that turn raw text into structured comparison drafts. These tools force the AI to stick to pasted facts, mark missing data explicitly, and output concise tables instead of long essays, significantly reducing token consumption while improving accuracy.
4 miembros de la colección
Actualizado: 2026-10-21T04:17:09.558860+00:00
Ten picks for SaaS / agent teams whose LLM bill is now a real line item — LiteLLM, OpenRouter, Manifest router, Portkey, Helicone cache, Cloudflare AI Gateway, LLMLingua compression, TokenCost calculator, LiteLLM cost dashboard, Fireworks fine-tune. Five layers: measure first, then cache, route, compress, fine-tune. 10–50% savings typical without quality loss.
10 miembros de la colección
Actualizado: 2026-06-30T19:00:02+00:00
Firefly III, Actual Budget, Maybe, Lago, Invoice Ninja — own your money tooling end to end, AI receipt parser included.
6 miembros de la colección
Actualizado: 2026-06-30T03:32:08+00:00