Context engineering
Context engineering is the practice of selecting, structuring and maintaining the information, instructions and tool outputs an AI system receives for a task.
Also known as:
In a sales team
A demo-preparation task gets the buyer’s workflow, unresolved discovery questions and the relevant demo standard, rather than the full sales document archive.
How is context engineering different from prompting?
It overlaps with prompt engineering but also covers retrieval, memory, tool outputs and how information is retained or removed during work.
What to check in practice
Test whether the same task remains accurate when irrelevant or contradictory information is present.
Related concepts
For the broader explanation, read AI in B2B Sales and GTM: 60 Terms Explained.
Further reading: Anthropic: context engineering.
Make your sales approach usable by AI
If the missing piece is an agreed selling standard for your assistant to apply, explore Next Best Actions. The destination and access route are agreed as part of the scope.