When to Use Claude Code and When Not To: Honest Trade-offs
Agentic coding is not always right. Where Claude Code shines, where it struggles, and the alternatives worth reaching for instead.
Agentic AI, LLM engineering, and the models behind modern automation — multi-agent systems, LLM evaluation and comparisons, RAG, fine-tuning, AI infrastructure, security, and production AI engineering.
From the blog
Agentic coding is not always right. Where Claude Code shines, where it struggles, and the alternatives worth reaching for instead.
Honest trade-offs on Claude Cowork for sales: where it transforms a big book, where simpler automation wins, and where you shouldn't automate at all.
Before scaling agentic coding, set guardrails: permissions, secrets, audit, and review gates. A practical governance model for Claude Code.
The guardrails leadership needs before scaling Claude Cowork on a sales book: human review gates, scoped data access, audit trails, and a kill switch.
Tool installs are easy; behavior change is hard. The habits, norms, and change management that make Claude Code stick across a team.
How to get a sales team to actually use Claude Cowork on a 4,000-account book: the habits, norms, and change management that make adoption stick.
The real cost model behind running a 4,000-account book with Claude Cowork: where hours and dollars are saved, and where the savings quietly evaporate.
A grounded cost model for Claude Code: where engineering time and token spend convert to ROI, and how to measure it without fooling yourself.
A phased plan to move an existing sales-book workflow onto Claude Cowork: shadow mode, pilots, gradual cutover, and safe rollback at every step.