AI at work, one job at a time
What AI is good for in your function, what a person must still check, and where the lines are. Written by the people who build Bodhih’s courses, and free to read. One guide is about something else entirely: being understood in English on calls, in stand-ups and in email.
AI for sales: 10 practical use cases, and what to check before you hit send
Ten practical ways sales professionals use AI, from account research and prospecting to proposals and forecasting, with the checks a human must still make.
AI for Marketing · 6 min readAI for marketing: 10 workflows that hold up on a real brand
Ten AI for marketing workflows that survive a real brand: research, brand voice, content, ad testing, lifecycle and analytics, with what a human must check.
AI for HR · 6 min readAI for HR: where it helps, where a person must decide
A practical guide to AI for HR: which hiring, policy, onboarding, performance, L&D and people analytics tasks it helps with, and where a person must decide.
AI for Finance · 6 min readAI for finance teams: what to automate, what to check, what never to upload
A practical guide to AI for finance teams: which close, reconciliation, forecasting and MIS tasks to hand over, what to check, and what never to upload.
AI for Managers · 6 min readAI for new managers: running your team’s week with an assistant, and the lines you never cross
How first-time managers can use AI for planning, delegation, team updates, 1:1s, feedback and reviews, and the lines on people decisions you never cross.
AI/ML Foundations · 6 min readAI and machine learning explained for working professionals
AI and machine learning explained in plain language: how models learn from data, how LLMs produce text, why they get things wrong, and what you must check.
Applied AI/ML Practitioner · 6 min readFrom Python to applied machine learning: a practical roadmap for developers
A practical roadmap from Python to applied machine learning: data preparation, scikit-learn models, honest evaluation, RAG with LLMs and deployment, in order.
LLM Engineering · 6 min readLLM engineering: what RAG, agents and evaluation actually require in production
What production LLM systems need beyond a demo: measured retrieval, agents with guardrails, golden-set evaluation, cost and latency budgets, and governance.
Workplace English · 7 min readBusiness English at work: being understood on calls, stand-ups and email
How to be understood in English at work: what intelligibility means, what to fix on calls and in stand-ups, how to write emails that get acted on, and accent.