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New 'askif' tool enables fuzzy AI logic for conditional coding

By PulseAugur Editorial · [1 sources] ·

A new tool called askif has been developed to enable conditional logic in code based on fuzzy AI judgments, moving beyond traditional if-else statements. This tool allows developers to use natural language prompts to determine outcomes, integrating with either the Jev model from TypeSafe AI for speed and cost-efficiency or OpenAI-compatible models. Askif offers three main functions: `ask.if` for binary or ternary (yes/no/unsure) branching, `ask.switch` for selecting one option from multiple possibilities, and `ask.score` for evaluating a condition on a defined scale. AI

IMPACT Enables more nuanced and flexible conditional logic in applications by leveraging AI for decision-making.

RANK_REASON New software tool release.

Read on dev.to — LLM tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New 'askif' tool enables fuzzy AI logic for conditional coding

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  1. dev.to — LLM tag TIER_1 English(EN) · A. Sakashita ·

    I wanted `if` statements for fuzzy conditions, so I built askif

    <blockquote> <p><strong>TL;DR:</strong> <code>askif</code> lets you branch on fuzzy judgments (<code>ask.if</code>, <code>ask.switch</code>, <code>ask.score</code>) with typed results. It runs on Jev (fast, about $0.013 per 1,000 calls) or on OpenAI-compatible models. → <a href="…

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