What practice best gives AI models the right context?
Most answers emphasize the importance of providing richer, more relevant context—whether through prompt engineering, data enrichment, or personal information—while differing on the specific methods used.
8 answers
Answers


Pamela Fox
Principal Cloud Advocate (Python) · Microsoft
Prompt Engineering
Pamela Fox says prompt engineering is the practice that helps — showing that a little prompt engineering, like breaking a sentence into words and having the model show its reasoning, got a better, correct response.
AI Engineer · Watch on YouTube

ali dasdan
Visiting Research Scientist · New York University
Maintaining Up-to-Date Work Context
Ali Dasdan says his team tries to keep work context collected, up to date, and permissions honored, so the information they provide to AI models is relevant.
MIT Sloan Management Review · Watch on YouTube

Kieran Klaassen
GM of Cora | EIR · Every Inc.
Teaching AI About You
Kieran Klaassen says teaching AI more about you is what gives you an advantage, not teaching it more about writing, because models already know writing but not your beliefs, experiences or tastes.
Kieran’s Substack - The AI Marketing Generalist · Kieran’s Substack - The AI Marketing Generalist · Read

Thariq Shihipar
Member of Technical Staff · Anthropic
Prompting
Thariq Shihipar says prompting is valuable for giving models context, but says it is more than a prompt—it includes skills, data, and prior harness and verification work that build up into context.
The Developing Dev · The Developing Dev · Read

Rob Key
CEO · Converseon
Advanced Enrichment
Rob Key says advanced enrichment—structuring data for specific brand and industry definitions through NLP—reached 92% accuracy against the human gold standard, versus about 65% for native enrichment.
CEO Series · CEO Series · Listen at 15:57

Dan Bjornn, PhD
Senior Data Scientist · Lease End
Providing Better Context
Dan Bjornn, PhD, says providing better context was the practice: in coding tasks, he found they never needed to change the model, just the skill, resources, and context, because better context yields better results.
AI Engineer · Watch on YouTube

Chris Piech
Associate Professor, Computer Science (Teaching) · Stanford University
Interview Prep
Chris Piech answers that his practice is 'interview prep': they run a saved recipe on a pre-interview call transcript, which surfaces the story, threads, and questions so they sit down already knowing where it should go.
EO · EO · Listen at 9:09

Akshay Nathan
Engineering · Openai
Feeding It More Context
Akshay Nathan says the more information you give the model about whatever domain you're in, the more valuable it becomes, adding that it needs to have access to that context first.
Latent Space · Watch on YouTube
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