LLM feed token budgets: plan context, cost, and retrieval
Estimate LLM feed workloads with explicit context allowances, hypothetical cost arithmetic, deduplication, and retrieval limits.
Read the guide : Plan feed token budgetsPro RSS Lab / tag
AI guides
Work from sources you can inspect.
This collection explores AI tasks that start with feed items, including summary preparation and token budgeting. The emphasis is on defining the input, preserving source metadata, and checking a transformed result against the available material.
Read the summary guide first when designing the workflow, then use the token-budget article to reason about size and cost. The related AI topic guides discuss vendor-specific environments as implementation contexts. Choose a task and evaluation method before deciding how much content or which tools to add.
AI feed summaries: keep the source attached to every claim
Build an AI feed-summary workflow that preserves source evidence, checks claims, handles excerpts, and supports corrections.
Read the guide : AI summaries with sources