AI Script Generator Development: Validator First, Generator Second

By PulseAugur Editorial · [1 sources] · 2026-06-14 11:29

A developer shared their experience building an AI script generator, emphasizing the critical importance of creating a validator before the generator itself. The key takeaway is that LLMs often disregard specified constraints like word limits, tone, and formatting, making a robust validation system essential to ensure the AI's output meets the desired criteria. This approach helps mitigate the unpredictability of LLM behavior. AI

IMPACT Highlights the need for robust validation in AI development to manage LLM unpredictability.

RANK_REASON Developer shares lessons learned from building an AI tool, focusing on best practices rather than a new release or significant industry event.

Read on dev.to — LLM tag →

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

COVERAGE [1]

dev.to — LLM tag TIER_1 English(EN) · Migrantiq · 2026-06-14 11:29

Spent weeks building an AI script generator. Biggest lesson? Build the validator first, generator second. LLMs ignore word limits, drift in tone, break formatting rules silently. Define "correct output" in code before you write a single prompt. #ai

COVERAGE [1]

Spent weeks building an AI script generator. Biggest lesson? Build the validator first, generator second. LLMs ignore word limits, drift in tone, break formatting rules silently. Define "correct output" in code before you write a single prompt. #ai

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