Manish Babbar · Jun 2, 2026
Agentic AI Workflow Orchestrator
A visual, modular AI-agent builder — compose agents from drag-and-drop blocks for decision-making, research and action, backed by Pydantic and OpenAI/Groq LLMs with parallel tas…
Lightning Leap · Jun 1, 2026
Why we build AI Accelerators, not just models
AI accelerators turn raw compute into predictable, cost‑effective performance, letting data teams ship models faster and scale sustainably.
Lightning Leap · May 18, 2026
RAG that doesn't hallucinate: grounding is a pipeline, not a prompt
Hallucinations in Retrieval‑Augmented Generation vanish when grounding is treated as a disciplined data‑pipeline rather than a clever prompt hack.
Lightning Leap · May 4, 2026
Fine-tune or prompt? A decision framework that fits on a napkin
When to invest in model fine‑tuning versus clever prompting is a trade‑off of data, latency, and maintainability—this guide gives you a quick, actionable matrix.
Lightning Leap · Apr 20, 2026
ETL pipelines that don't rot
ETL pipelines crumble when they’re treated as one‑off scripts; robust design, observability, and modularity keep data flowing reliably for years.
Lightning Leap · Apr 6, 2026
Evals before vibes: how we know an LLM feature actually works
In the hype‑driven AI market, rigorous evaluation— not gut feeling— is the only way to certify that a new LLM capability delivers real value.
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