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Every developer hits this wall eventually. A feature behaves in a way you can’t explain, and the code behind it is locked away. No source. No docs. Just a compiled binary or a wall of minified JavaScript. Figuring it out the traditional way means hours in a disassembler, specialist tools like Ghidra or IDA, and
Reverse Engineer Anything (REA): Can AI Really Crack Closed Code? Read More »
Imagine building an AI agent that has to decide whether a customer complaint needs human intervention, which department should handle a query, or whether a submitted delivery photo is valid. Getting these decisions right matters. A false positive can trigger an unnecessary escalation, while a false negative can let a genuine issue slip through. Traditionally,
OpenAI Decisions API: What it is and how to use it? Read More »
Autonomous AI agents can read requests, retrieve data, reason through options, and trigger actions in seconds. That speed is useful, but it also creates risk when the next step affects money, customer records, or external systems. Human-in-the-loop checkpoints add control at the moment an agent’s recommendation is about to become a real-world action. In this
How to Design Human-in-the-Loop Checkpoints for Autonomous AI Agents Read More »
EmbeddingGemma 2 launched on October 6, 2026 under Apache 2.0. It is a sub-1B model built on Gemma 4 that maps text, code, images, video and audio into one 768-dimensional space. This article covers the architecture, the benchmarks, and runnable scripts to provide measured results. Specifications Specification EmbeddingGemma 2 Base model Gemma 4 License Apache
EmbeddingGemma 2: Text, Code, Images, Video and Audio in One Vector Space Read More »
Agents make dozens of small decisions before producing useful output: which source to trust, which tool to call, what context to keep and when to stop. Jev brings those hidden choices into the open by turning them into typed decisions with probabilities, instead of relying on free-form text alone. That makes it useful across browser
Most AI coding demos stop at task managers, weather apps, or simple chatbots. For this project, we take on something more demanding: building an enterprise customer-support platform that can investigate complaints, retrieve relevant policies, recommend resolutions, and keep risky actions behind human approval. This gives us a practical way to test Claude Fable 5.1 as
Every dev team has repeatable setup tasks: spinning up a new project, running a deployment checklist, generating a file structure, or typing the same instructions into Claude again and again. Claude Code helps reduce that friction with slash commands, including built-in commands and custom commands you can define for your own workflows. These commands turn
Claude Code Custom Commands & Skills: Automate Your Workflow Read More »
AI agents can handle large context windows, yet still forget what happened after a session ends. Memory systems close that gap by preserving useful facts, preferences, relationships, and task state, giving agents continuity beyond a single prompt. Open-source projects now approach memory through APIs, graphs, benchmarks, and portable agent state. In this article, we look
7 Open-Source Memory GitHub Projects on AI Memory Read More »
For the first time, an OCR model reads Indian languages as fluently as English documents. Sarvam Vision 2.1 breaks a long-standing trade-off. Indian businesses had to choose between structural document parsing and script recognition. Never both. Finance teams automating invoices faced this. Insurance companies processing handwritten claims in multiple states faced this. Organizations digitizing regional
Sarvam Vision 2.1: The OCR Model Built for the Documents India Actually Has Read More »
Agentic Context Learning or ACE is a learning paradigm that lets an AI agent improve across tasks by editing the context it reads, while leaving model weights unchanged. The paper outlining the techniques show why full rewrites fail, how the playbook update works, and where the measured gains hold up. This article explores how ACE
Agentic Context Engineering (ACE): Self-Improving Language Models Read More »
