The blog
Every guide and explainer on automation, RPA and AI, newest first.
CERT-In’s critical advisory on AI agents reaching Indian systems, and a practical checklist for anyone running automations to protect their API keys and access.
One of the private keys that was supposed to protect a trusted certificate authority turned out to be the number 4. Not a long random number…
What “AI token” means: text tokens in language models (cost, context windows, how to estimate them) and crypto AI tokens, with a costing example and cautions.
Every LLM is generative AI, but not all generative AI is an LLM. A clear explanation of how large language models, generative AI, deep learning and…
Six common challenges in computer vision, from data and bias to robustness, compute, explainability and privacy, with practical ways to handle each.
Comparing the main UiPath alternatives: Automation Anywhere, SS&C Blue Prism, Power Automate, Pega, Appian, ServiceNow and Tungsten Automation. Strengths, pricing models and which kind of team…
How to organise an automation CoE: centralised, federated and hybrid models, the core roles, seven common challenges with practical fixes, metrics to track and a 90-day…
The six prompting strategies from OpenAI’s guide (clear instructions, reference text, splitting tasks, time to think, tools and systematic testing), with before-and-after examples and what has…
What collaborative robots (cobots) are, how they stay safe, where they are used, how they differ from industrial robots and how to decide if one fits.
How AI and RPA are used across the supply chain, ten top use cases, benefits, challenges and a practical way to start.
Generative AI creates content; predictive AI forecasts outcomes. How they differ, business uses of each, risks, and how to combine them.
Types of freelance automation work, the skills clients pay for, where to find projects and how to scope and price them.