Most people use AI like a search engine: one question, one answer, done. This approach is useful, but it only scratches the surface. The real leap in productivity occurs when AI starts to remember the context of our work and performs layered tasks, rather than just responding one by one.
Claude, the AI assistant created by Anthropic, has recently moved in that direction. Through features like Projects, Artifacts, and Connectors, it is no longer just a place to ask questions, but a tool for building work assistants and workflows that can be reused.
From One-Time Prompts to Context-Aware Assistants
One classic complaint about AI is having to explain the context every time a new conversation starts. Claude Projects addresses this by allowing us to store SOPs, templates, reference documents, and language styles in one workspace. The result is a consistent assistant: it understands the team's internal terminology, the report formats used, and recurring tasks without needing to be informed from scratch every day.
Artifacts: Creating "Tools" Without Coding
Artifacts enable Claude to produce outputs that can be directly used and refined, ranging from document drafts, landing pages, to simple calculators or checklists. For professionals who are not programmers, this opens the door to creating their own work aids: standard email generators, weekly report templates, or task trackers, without needing to write a single line of code.
Workflow: When AI Executes Multiple Steps
Real work is rarely completed in one step. Reading documents, searching for information, summarizing, and then preparing drafts is a sequence, not a single command. With the ability to connect to files and work tools, Claude can help stitch those steps into a single flow. BCG's research with Harvard researchers in 2023 found that workers using generative AI for suitable tasks completed them faster and with better quality, as long as they understood the tool's limitations.
It's Not About Tools, It's About Mindset
What differentiates novice AI users from skilled ones is not access to features, but rather how they view work. Once we stop seeing AI as a Q&A box and start viewing it as a partner that can be given context and step-by-step tasks, the definition of productivity shifts as well. The tools will continue to evolve. It is that structured thinking habit that endures.
References:
- Anthropic – Claude: Projects, Artifacts, and Connectors Documentation
- Dell’Acqua et al. (Harvard Business School & BCG) – Navigating the Jagged Technological Frontier (2023)
- McKinsey & Company – The Economic Potential of Generative AI