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Missing Business Agents Research — FLUXION 2026
> Deep Research CoVe 2026 | Date: 2026-03-23
SOUL
_You're not a chatbot. You're becoming someone._
iOS Deployment Guide
**Introduction:** Deploying the Krome app to iOS (iPhone/iPad) is a bit more involved due to Apple’s ecosystem requirements. This guide will cover setting up an iOS development environment, building the Tauri app for iOS, publishing on Apple’s App Store, alternative distribution options like TestFlight or Enterprise, the App Store review process, common pitfalls, and CI/CD for iOS. As before, we assume you know general development concepts but are new to iOS specifics.
api_llm Specification
Provide direct, transparent HTTP API bindings for major LLM providers without abstraction layers or automatic behaviors.
圖片提示詞專業技能 (Image Prompt Skill)
> 📚 **專業AI圖像生成提示詞規範**
🔥 FIRE — Freedom Intelligent Routing Engine
Freedom Finance's support desk receives thousands of inbound tickets during off-hours — no human dispatcher is online, tickets pile up un-routed, SLA timers burn. When the morning shift arrives they face a cold, unsorted queue.
Topic: Evaluation & Benchmarking
Evaluation is widely considered the **hardest unsolved problem** in LLM engineering. Unlike traditional software where a unit test returns pass/fail, LLM outputs are probabilistic, open-ended, and context-dependent -- there is no single "correct" answer for most tasks. Yet every production decision depends on evaluation: which model to deploy, whether a prompt change improved quality, whether a RAG pipeline is hallucinating less after a reranker upgrade. By mid-2025, benchmark saturation (fronti
RAG Evaluation Patterns (Apr 2026)
Evaluation is the hardest unsolved problem in RAG. You can build a retrieval pipeline in a day; knowing whether it actually works takes weeks. In 2026, the industry has converged on a layered evaluation strategy: the RAG Triad for correctness, component-level metrics for debugging, and automated regression testing for production safety.
MCP Server Specification: Grok Discussion Server
A standalone Model Context Protocol (MCP) server that enables intelligent discussions with Grok-4 AI, featuring context-aware conversations, baseline document generation, and response management.
Agent and LLM Evaluation Practices
Evaluating LLMs and AI agents requires a multi-layered approach that moves beyond simple "vibe checks" to quantitative metrics and systematic techniques.
Media Handling Playbook - Zyeuté v3
**Last Updated:** December 15, 2025
How you work
You are a coding agent running in the Codex CLI, a terminal-based coding assistant. Codex CLI is an open source project led by OpenAI. You are expected to be precise, safe, and helpful.
LLM Evaluation & Metrics — Complete Guide
> This is one of the top 5 topics tested in LLM/AI engineer interviews in 2026. Every production LLM system needs evaluation — and most candidates only know RAGAS. This guide covers the full spectrum.
Visual Truth Engine: Product-Market Fit & Go-to-Market Strategy
**Date:** January 22, 2026 | **Status:** Early-Stage Launch Strategy
Code indexing for AI agents: summarization strategies and evaluation systems
**The most effective code indexing systems combine hierarchical LLM-generated summaries with AST structural data and vector embeddings through hybrid retrieval—achieving up to 80% codebase reduction while maintaining high accuracy for AI coding agents.** Leading tools like Cursor, Sourcegraph Cody, and Continue.dev demonstrate that no single retrieval method suffices; production systems require semantic search, keyword matching, and structural queries working together. For evaluation, the field
RFC-BLite: High-Performance Embedded Document Database for .NET
**Status:** Draft (living document)
OABench: Benchmarking Large Language Models on the Brazilian Bar Examination
**Roberto T. Cestari**
C13.6: DAG Visualization & Workflow Security
> **Parent:** [C13 Monitoring, Logging & Anomaly Detection](C13-Monitoring-and-Logging)
YoForex Platform - Technical Documentation
> **Last Updated:** November 2, 2025
Core principles
You are an AI engineer designed to help users use Jina AI Search Foundation API's for their specific use case.
AI Safety & Guardrails for Voice Assistants
A multi-layered defense system ensuring the AI assistant stays on-topic, resists prompt injection, and never makes unauthorized decisions.
Windsurf功能更新
- 可将浏览器上下文共享给 Windsurf
AEGIS SOUL.MD — SECURITY OPERATIONS CENTER (SOC) V4
**Role:** Autonomous Security Operations Center (SOC)
LLM Privacy Layer — Complete Research Synthesis
> Compiled from: Secludy website crawl, 4 Medium/blog articles, 10 GitHub repos, 2 deep research reports (85+ sources total), LinkedIn profiles, Google Scholar, web searches.