A developer built a lead generation machine in Google Sheets that turns every Gumroad sale into a logged, license-verified lead with an AI-personalized follow-up email, using about 70 lines of Apps Sc…
A developer built a WhatsApp sales inbox in Google Sheets using Apps Script and GPT-4o-mini, enabling a small team to log messages, score buying intent, and lock leads to one rep for 15 minutes. The s…
A developer cut their OpenAI bill by 97% by migrating to Global API, which offers models like DeepSeek V4 Flash at 40× lower cost than GPT-4o. The migration required changing only two lines of code—th…
A new Python agent built by Mariana Souza generates SQL from natural language using an LLM and validates every query against an AST-based guardrail before it reaches the database. The agent extracts t…
A new AI model called continuous-query limited memory language model (CO-LMLM) combines minimal cost with high factual precision by storing knowledge in an external knowledge base and fetching it as n…
Tool-using large language models frequently violate their own policies, with 78% of failures in a budget airline domain being silent wrong-state failures. Deterministic pre-execution gates improved su…
A new SWI-Prolog library called pllm allows developers to interface with large language models (LLMs) via OpenAI-compatible chat/completions endpoints. The library provides a simple predicate llm/2 th…
A developer built an AI-powered reverse hiring platform using Next.js, Supabase, and OpenAI. The platform flips the traditional hiring model by requiring companies to find candidates, disclosing salar…
OpenAI's structured outputs API, combined with Pydantic, allows developers to receive fully-typed JSON objects from LLM calls, eliminating fragile parsing and schema drift. The tutorial demonstrates e…
A study on text-to-SQL systems found that verification-based signals, such as LLM judges, outperform black-box signals like self-consistency in predicting query correctness, with a two-provider ensemb…
A new research framework called CLExEval reveals that large language models like GPT-4o-mini and HuatuoGPT-o1 exhibit significant flaws in clinical reasoning, including verbosity bias, hidden knowledg…
New research reveals that large language models like GPT-4o-mini, Gemini-2.0-Flash, and Qwen3-Coder-Next frequently overestimate the security of generated code, posing risks in software development. T…
MemDelta, a new evaluation protocol for AI memory systems, reveals that performance varies significantly across model families, with retrieval-augmented generation (RAG) and full-context models showin…
A developer built a multi-modal evidence review agent for damage claims using Python, OpenAI GPT-4o, and structured prompting. The system processes text, images, and historical context to produce cons…
A developer explains how to distinguish between genuine API rate limits and network-level failures when using OpenAI, Claude, or Gemini APIs. The post details diagnostic steps using curl, DNS checks, …
Researchers introduced Grounded Iterative Language Planning (GILP), a hybrid method combining a small parameterized world model with LLM-based agent reasoning, reducing hallucinated-state rates from 0…
A developer team reduced their LLM API costs by 60% through systematic optimization, starting with instrumenting every call to log token counts per request type. The biggest savings came from semantic…
MemDelta, a controlled evaluation protocol for agent memory systems, reveals that reported performance gains often stem from changes in embedding models or language models rather than memory architect…
A developer created a new benchmark for evaluating AI agent monitors, finding that standard scoring methods are gameable—a coin flip achieves an F1 score of 0.88. After correcting the metric to reward…
A developer integrated Verifly's email verification API into a LangChain agent to prevent the agent from sending emails to invalid addresses. The tool checks deliverability mid-loop, allowing the agen…