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Show HN: An AI video prompt cookbook for image-to-video workflows

A practical prompt pattern collection for creators, marketers, and small content teams working with image-to-video and text-to-video AI workflows. It includes a prompt card format, example prompts for product ads and UGC-style hooks, a same-prompt model testing method, an evaluation scorecard, and failure notes.

Hacker News AIAgents / PolicyIn-site article
Shall We? – A pre-engineering sanity check for AI-era feature bloat

Shall We is an open-source skill that helps developers resist the urge to build every feature just because it's technically possible. It asks structured questions before any code is written, delivering a verdict of YES/NO/LATER.

Hacker News AIAgents / ResearchIn-site article
I Created a Minimalist Universal Language for AI

QMP (Queen Magic Prompt) is a minimalist universal language designed to eliminate AI hallucinations and automate multi-agent workflows through a dynamic anchor matrix. The project critiques 'cognitive feudalism' and advocates cognitive awakening, offering an open-source parser while keeping the core generative engine proprietary.

Hacker News AIAgents / ChipsIn-site article
Nvidia adopts OpenBAO, open source fork of HashiCorp's Vault

Nvidia has adopted OpenBao, an open-source fork of HashiCorp's Vault, for secret management in Kubernetes. The project is gaining traction, especially in Europe, due to digital sovereignty concerns. OpenBao offers open governance and security features, with upcoming releases adding workflows and AI agent support.

Hacker News AIAgents / Chips / PolicyIn-site article
Show HN: Didon – AI workday reports for productivity analysis

Didon is an AI-powered automatic time tracker for macOS that runs quietly in the background, turning your daily activity into a clear, structured work journal without manual timers. It uses on-device AI to analyze screen activity, automatically log time by project, and generate daily and weekly reports while keeping your data private.

Hacker News AIResearchIn-site article
What does it mean for AI to be democratic?

The article explores two visions of democratic AI: pluralist democracy that accommodates diverse values, and homogenizing democracy that imposes majority values. The author warns that some seemingly progressive calls for 'democratic AI' may actually be authoritarian, stifling legitimate debate. AI poses real threats to pluralist democracy, but the debate must include all voices, not exclude opponents.

Hacker News AIAgents / PolicyIn-site article
Form Before Data: The Real Bottleneck for Physical AI

The bottleneck for physical AI is not intelligence but the right physical form and senses to collect real-world data. Tesla succeeded with cars because the car was already the right shape. Humanoid robots lack tactile sensing and task-specific data. Current successful physical AI applications are not humanoid but simple arms with advanced vision, e.g., in agriculture.

Hacker News AIAgents / PolicyIn-site article
Agentic Systems Course: Learn AI Agents with an AI Coding Agent

This is a 22-chapter skeleton course on designing, building, and operating production AI agents. Designed to be used with an AI coding agent, it emphasizes architectural patterns over specific frameworks. The course includes a built-in skill for reviewing agent systems and references four open-source projects.

Hacker News AIAgents / PolicyIn-site article
I built a real-time trading platform with an AI; then the clock started lying

The author built a real-time OTC interest-rate swap matching platform with Claude as a copilot. After a month in production, sessions started running abnormally long. The root cause was that a slow client blocked the async broadcast loop, starving the timer. The fix involved using an absolute deadline timer and concurrent broadcasts with timeouts. The key lesson: async does not automatically mean concurrent, and understanding system behavior remains a human task.

Hacker News AIToolsIn-site article
Governing AI-agent actions via a network intent layer (NILScript)

A proposed structural framework, the Network Intent Layer (NIL), uses a deterministic propose-approve-commit-rollback lifecycle to let AI agents only propose intents while backends declare operations, reducing unauthorized writes to 0% model-independently.

Hacker News AIAgents / PolicyIn-site article
Agent-trace: A standard format for tracing AI-generated code

Agent Trace is an open specification for recording AI contributions alongside human authorship in version-controlled codebases. It provides a vendor-neutral format with file- and line-level granularity, supports multiple VCS, and allows extensibility via metadata. Currently an RFC with version 0.1.0.

Hacker News AIAgents / PolicyIn-site article
AgentX - AI Agent Evaluation Framework

AgentX is a tool for evaluating AI agents, identifying issues, and fixing them with one click.

Product Hunt AIAgents / Research / StartupsIn-site article
LBE – open-source execution control layer for AI agents

LBE is an open-source execution control layer that acts as a policy gate between AI agent proposals and system actions. It validates each action locally before execution, supporting file writes, shell commands, and more. It includes a WASM runtime, policy engine, and immutable audit log, and is used in production within Letterblack for After Effects.

Hacker News AIAgents / PolicyIn-site article
OpenMontage: Turn your AI coding assistant into a full video production studio

OpenMontage is an open-source, agentic video production system that turns AI coding assistants into full video studios. Users describe their vision in plain language, and the system handles research, scripting, asset generation, editing, and final composition. It can create both image-based and real-footage videos, using free stock footage and open archives, with costs as low as $0.15.

Hacker News AIAgents / ChipsIn-site article
Crawlee for Python: Build a Web Crawling Pipeline with Robots Handling, Link Graphs, and RAG Chunk Export

This tutorial demonstrates how to build a complete web crawling workflow using Crawlee for Python, from setup to AI-ready output. It covers local demo website generation, crawling with BeautifulSoupCrawler, ParselCrawler, and PlaywrightCrawler, extraction of titles, metadata, product fields, and JavaScript-rendered cards, full-page screenshots, data normalization, link graph construction, and export to JSON, CSV, and RAG-ready JSONL chunks.

MarkTechPostAgents / RoboticsIn-site article
Show HN: Quikdown – 17 KB bidirectional Markdown parser and rich-fence editor

Quikdown is a compact, safe Markdown parser and editor with bidirectional conversion, rich fence rendering, undo/redo, headless API, and MCP tools. Suitable for docs, dashboards, CMS fields, internal tools, offline apps, and human/LLM collaborative editing. Core parser is ~15–17 KB with zero runtime dependencies and safe defaults. The editor can render code, Mermaid diagrams, MathJax equations, SVG, tables, maps, 3D models, and more.

Hacker News AIAgents / ResearchIn-site article
Now that your newsletter is AI-generated, I've Unsubscribed

The author recounts unsubscribing from a newsletter after 20 years when the writer switched to AI-generated content without notice. Emphasizing the value of human voice and real experience, the piece contrasts the mechanical hum of AI with the thoughtful, wandering nature of human writing, and shares a touching story about a son taking over his deceased father's newsletter.

Hacker News AIToolsIn-site article
The 100k Whys of AI

The author discusses the difficulty of distinguishing human-written from AI-generated text, arguing that while LLMs may be statistically indistinguishable, their quasi-deterministic nature produces repetitive outputs, such as the flood of AI-generated children's books on Amazon. The author suggests trusting gut instincts in informal settings.

Hacker News AIToolsIn-site article
Building Reliable Agentic AI Systems

This article presents the Preclinical Information Center (PRINCE), a platform developed by Bayer AG with Thoughtworks. It uses Agentic RAG and Text-to-SQL to integrate decades of safety study reports, evolving from keyword search to an intelligent research assistant capable of answering complex questions and drafting regulatory documents. The article discusses key engineering decisions through context engineering and harness engineering, emphasizing trust, transparency, and human-in-the-loop integration.

Hacker News AIAgents / PolicyIn-site article
Second Brain – A free, invisible AI interview copilot (Groq and Llama 3)

Second Brain is a 100% free, invisible desktop assistant that runs in the background during job interviews, using real-time transcription and context-aware suggestions based on your resume and job description. Powered by Groq's fast Llama-3 and Whisper-large-v3, it provides millisecond responses. Multi-language support and privacy-first design with local storage.

Hacker News AIModels / AgentsIn-site article
Show HN: Agent-historian – let your AI agent search its own past sessions

Agent-historian is an open-source tool that lets AI coding agents search their own past session history from the command line, enabling recovery of earlier research, commands, errors, and decisions to avoid redundant work. It supports multiple agents like OpenCode and Claude Code, is read-only, uses progressive disclosure, and has zero runtime dependencies. It complements memory layers and RAG by providing exact original text retrieval.

Hacker News AIAgents / ResearchIn-site article
Plotting AI model release cadence: two labs are accelerating, three aren't

Analysis of frontier model release data shows Anthropic and OpenAI are accelerating their release cadence, while Google, Meta, and DeepSeek are not. The article explores the recursive self-improvement hypothesis and proposes a falsifiable test.

Hacker News AIModels / Chips / ResearchIn-site article
Ratchet – BIOS flashing toolkit with a built-in MCP server for AI agents

Ratchet is a hardware debugging and flash programming toolkit written in Rust, targeting CH341A and CH347 USB programmers. Its core focuses on SPI flash programming and BIOS analysis, supporting protocols like I2C, UART, JTAG, SWD, and CAN. It features a built-in MCP (Model Context Protocol) server, enabling AI agents to directly control hardware operations such as reading, writing, verifying, and repairing BIOS chips. Currently in pre-release, it requires building from source.

Hacker News AIAgents / ChipsIn-site article