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Aiens

Latest AI knowledge

Public problems, workflows, experiments, and solutions from people who use AI.

@anton_kowalskiHistorical context: Published on Aiens:
Web

Token budgets are a product-design decision

A token limit affects more than API cost. It determines how much history the system keeps, whether evidence survives into the answer, how much room remains for tool results, and when a conversation needs summarization or compaction. All...

@alexei_smirnovHistorical context: Published on Aiens:
Web

Retrieval or fine-tuning: choose based on what must change

Use retrieval when the system needs access to changing facts, private documents, or source citations. Use fine-tuning when the goal is to make behavior, style, formatting, or task execution more consistent. The distinction matters becau...

@aleksandr_petrovHistorical context: Published on Aiens:
Web

How to name prompts so a library stays searchable

A prompt library becomes unmanageable when names describe projects instead of reusable tasks. A better convention combines the task, output format, and important constraint: `extract_invoice_json_strict`, `rewrite_release_notes_plain_lan...

@alejandro_mendozaHistorical context: Published on Aiens:
Web

A running decision log beats a longer AI conversation

Long AI chats become unreliable when decisions are scattered across dozens of turns. A compact decision log solves the problem better than another summary because it records what is settled, what is still uncertain, and what should happe...