Publications
Articles, papers, and blog posts from our research team.
Highlights the economics of Amazon Nova Forge, a task force win on Legacy OCR with Landing AI, and why Windsurf outclasses Google’s Antigravity alongside the launch of CoE Assist.
Spec-based critique of Amazon Nova Forge’s replay buffer and RLVR claims, questioning whether the $100k premium is genuine moat or just operational convenience.
Practical fixes to turn ARBs from bureaucratic bottlenecks into streamlined, AI-assisted reviews—moving from calendar-driven gatekeeping to risk-based pipelines with automation.
Covers DeepSeekMath-V2’s self-verifying math model, Prime Intellect’s INTELLECT-3 RL stack, and Ai2’s OLMo 3 full “model flow,” contrasting how each defines openness.
Covers Gemini 3 one-shot app builds, training your own GPT on free GPUs, and the realities of enterprise OCR.
Shows how to classify changes by risk, automate CAB checks, and modernize change control with AI and pipelines.
Guide to designing CI/CD pipelines that ship fast without breakage, using AI-driven testing and opinionated stacks.
Covers Anthropic’s Claude Opus 4.5 launch and competitive positioning in coding and reasoning benchmarks.
Argues Bezos’ Project Prometheus signals the next enterprise wave: physical AI systems beyond chatbots.
Multi-stage pipeline for verifiable generative AI that enforces deterministic outputs in image generation workflows.
Survey of late Oct–Nov 2025 releases: SWE-1.5, Cursor Composer, MiniMax M2, Kimi K2 Thinking, Gemini 3, Grok 4.1, Antigravity IDE, GPT-5.1-Codex Max, and early signals like Penguin Alpha.
Gemini 3 builds production apps in one shot and shows how to train your own GPT on free GPUs with minimal prompting.
A record Azure DDoS attack as a warning on AI reliability, cloud fragility, and resilience planning beyond benchmarks.
A moderation AI misclassified a human as synthetic, hiding 80–97% of replies—lessons on misdetection and platform trust.
Dissects Anthropic’s GTG-1002 agentic system for cyber operations, highlighting architecture and security risks.
Leonardo’s framework for rapid technical analysis plus universal model deployment at 90% lower cost.
LearnLens Chrome extension that turns YouTube into competitive intelligence for learning and GTM research.
AWS Bedrock Agents, Cursor’s Composer, and why Kimi outperforms consultants on slides for production-grade delivery.
Examines how AI systems increasingly learn from digital behavior patterns and the implications for human-in-the-loop design.
Explores how next-gen chips and tight hardware–software integration unlock new performance ceilings for AI workloads.
Why evaluating LLMs and agents is fundamentally broken—and how to make assessments that reflect real-world performance.
How I built an AI engagement system for X by choosing robustness over perfection.
How we cut generation time 43% by splitting our pipeline—three architecture decisions that made our Arabic education system work at scale.
How AI can learn to speak in the language of engagement.
We built the perfect DSPy pipeline. It had validation, auto-correction, infinite loop detection. Yet, the smaller Falcon model still was unprepared to stand on its own.
How we're using DSPy to create an autonomous education engine that gets smarter with every question it generates
How to read, question, and apply AI papers
First it was Dia, then came Comet. I downloaded Fellou.ai the other day, which bills itself as the first “agentic browser.” As I type this I’m also installing GenSpark’s new AI browser.
Why Gemini 2.5 Flash Image marks a permanent shift in creative workflows
Genspark & Abacus Ship, Jules & Devin Slip
Kiro and the orchestration of multi-tool pipelines for human–AI teams
Willfully over-engineering a simple RAG bot to explore agentic workflows
Cost‑Aware, Format‑Strict, and Surprisingly Minimal
Quick Dive: An honest evaluation of where DSPy excels, what my implementation adds, and how you should (or shouldn't) use it
A comparison of Agent Lightning, Handit.ai, and a Homegrown tool - AgentEvolve
Always-on AI coaching that keeps every employee focused, sane, and one step ahead.
Hands‑On with 2025’s AI Video Tools (and Why 8 Seconds Still Hurts)
From Concept to Production with AI-Powered Development
The Simple Path from Text to Voice Avatar: Everyone can create a chatbot - I transformed any template-based chatbot into a visual, voice-enabled expert with complete control and scalability.
Can RL loops continuously refine prompts, tools, and agentic pipelines?
How combining existing tools and best practices helped me tackle the challenge of discovering and validating educational resources at scale
Meet the Three Musketeers of coding, reasoning, and instruction
From Satire to Scientific Measurement
How to Build & Auto-Refine Algorithms Using Multi-Model LLM Loops
How enterprises can extract valuable technical patterns from DeepAgent's sophisticated design while demanding empirical validation
Grok 4 vs. Kimi K2
Enterprise Content Orchestration for Content Creation, Approval and Scheduling with n8n & Airtable
10-engine system learning from each run; LLM ‘orchestrator’; open source APIs for 2,000+ vetted resources; AI-driven build-while-learning approach—enhanced with Google’s GenAI Processors architecture
A Hybrid Approach to Software Quality
A modern workflow
How to Tame Context Limits, Retrieve Structured Data, and Build Reasoning Agents for Enterprise-Scale Insights
Opinion: From LangChain to Mem0, new benchmarks reveal million-token context windows plus a simple stack present a more compelling case than memory frameworks
And a Four-Layer Framework for Scalable Enterprise Adoption
Trilogy’s 73% AI usage is industry-leading — but business value trails. Here’s how we’ll turn high adoption into measurable impact, with standards, proven wins, and a culture of continuous learning
A hands-on breakdown of where MCP ends, where A2A begins, and why orchestration, not communication, is the real architectural battleground.
Discover how AI-driven video analytics uncover, measure, and transform hidden workplace anti-patterns — translating rigorous research into actionable ideas for enterprise productivity and success
A deep dive into its architecture, standout features, and where it still falls short
How a Fierce Debate Forged the Blueprint for the Next Generation of AI
Why AI Agents Can't Talk to Each Other (And How A2A Aims to Fix It)
From Off-the-Shelf to Custom: A Benchmarking Study of Agentic Retrieval Pipelines
The era of single-model content creation is over. 20 minutes vs 120 minutes determines market leadership = 84% efficiency gain
Model Context Protocol
Does agentic retrieval trump vanilla retrieval? What is the top performing combination of datastores and embeddings from a retrieval accuracy perspective
A Guide to Tools, Trust, and Transparency in AI Coding
In todays market, 10 minutes vs 70 minutes determines who wins proposals. This 86% efficiency gain translates directly to competitive advantage worth $41,600 annual capacity per analyst.
A comprehensive benchmark analysis of popular agentic frameworks including LangChain, LangGraph, CrewAI, and AutoGen, evaluating their performance in real-world scenarios and providing actionable insights for framework selection.
From Theory to Practice with Automated Solutions
Analysis of Framework Architectures, Capabilities, and Multi-Agent Dynamics
Assessing Human Readiness and Synergies in Human-AI Evaluation
Benchmarking Multi-Agent Coordination, Reliability, and Interoperability
Enabling Seamless AI Agent Collaboration
The Future of Personalized and Self-Directed Learning
A Guide to AI-Powered Tools
Beyond Manus AI
Creating Effective Datasets and Evaluation Criteria
MCP Meets OVON in the Quest for True Interoperability
Key Highlights and Developments
Leveraging a Knowledge Base for Continuous, Iterative Discovery
Proprietary and Open-Source Solutions
Overview, Comparison, and Recommendation
Bridging Structured Knowledge and Generative AI for Smarter Solutions