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Madhu Guru
Madhu Guru @realmadhuguru
The best enterprise AI implementations I see:
Pair workflow experts + people with great product sense (rare).

Understand workflows deeply - tools, manual steps, coordination across systems, hallway conversations.

Common gaps to address:
- Codify institutional memory (in people's heads)
- Codify undocumented processes
- Clean existing docs (which of the 3 HR policy docs on the intranet is the latest?)

Build: spec workflows, representative evals, systems that auto-improve as models evolve.

Critical miss: treating AI like traditional software. Models evolve every 6-8 weeks. Need continuous iteration, not annual roadmaps.

Reid Hoffman: Enterprise AI strategy is backwards.

Most people are focusing on Chief AI Officers and pilot programs, when the real value is in the unglamorous work where organizations bleed time.

More thoughts:
Andrew Ng
Andrew Ng @AndrewYNg
New course: Gemini CLI: Code & Create with an Open-Source Agent, built with @googlecloudtech/@geminicli and taught by @JackWoth98.

Agentic coding assistants like Gemini CLI are transforming how developers work. This short course teaches you to use Google's open-source agent to coordinate local tools and cloud services for coding and non-coding workflows.

Gemini CLI works from your terminal, so it works with your local files and development tools. You can also connect it to services through MCP. Then provide high-level instructions, and it autonomously plans and executes complex workflows.

Skills you'll gain:
- Build website features and automate code reviews with GitHub ActionsCreate data dashboards that combine local files with cloud data sources
- Use MCP servers and extensions to orchestrate workflows across GitHub, Canva, and Google Workspace
- Generate social media content from multimedia files like conference recordings

I particularly appreciate that Gemini CLI is open-source. You can see exactly how it works, read the prompts it uses, and understand its architecture. The community has contributed thousands of pull requests. Since Gemini 3’s release I've found Gemini CLI highly capable - this is a tool worth having in your toolbox!

Whether you're prototyping applications, automating workflows, or working with multimedia content, join to learn to delegate complex tasks and build faster: https://www.deeplearning.ai/short-courses/gemini-cli-code-and-create-with-an-open-source-agent/

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