Dylan Davis
About this creator
Dylan Davis focuses on practical AI workflows, automation habits, and simple operator-friendly systems that make everyday knowledge work faster and more effective.
Why they're in the library
Included for practical guidance on practical AI workflows, automation habits, and simple operator-friendly systems that make everyday knowledge work faster and more effective.
Showing 159 digests for Dylan Davis.
Prompt engineering
YouTube
Prompt engineering best practices are becoming obsolete
Dylan Davis
March 20, 2025
Prompt engineering
10
AI tools & automation
7
Reasoning models make chain-of-thought prompting redundant by default.
Agentic tools generate their own steps, making explicit step prompts useless.
Describe what you want — AI knows how to get there better than you do.
AI tools & automation
YouTube
AI-powered client proposal workflow: from hours to minutes
Dylan Davis
March 18, 2025
AI tools & automation
9
Closing techniques
7
A 5-hour manual proposal was rejected; a 22-minute AI one was accepted.
Three-tier pricing anchors clients and is generated entirely by AI.
A self-reviewing system prompt catches gaps before you see the draft.
AI tools & automation
YouTube
How to prevent context drift when AI coding with Cursor
Dylan Davis
March 13, 2025
AI tools & automation
9
Processes & SOPs
6
Long Cursor sessions cause models to drift from your codebase reality.
Summarise stuck bugs into a fresh composer session to reset context.
Three layered documents — spec, blueprint, to-do — keep AI on track.
AI tools & automation
YouTube
Using AI to turn meeting notes into follow-up emails in minutes
Dylan Davis
March 6, 2025
AI tools & automation
9
Automation & tools
6
A transcript or photo of notes is all the AI needs.
Poor handwriting still yields 60–70% accurate extraction.
A custom system prompt locks in your voice and email structure.
AI tools & automation
YouTube
Model Context Protocol: the open standard connecting AI to the world
Dylan Davis
March 4, 2025
AI tools & automation
9
AI strategy & adoption
7
Tech stack & software
6
AI models are caged — MCP is the USB-C that frees them
Anthropic open-sourced MCP to close the gap with OpenAI
Auto-discovery and cloud servers will replace today's manual setup
AI tools & automation
YouTube
Automating expense tracking with AI, Google Drive, and Google Sheets
Dylan Davis
February 27, 2025
AI tools & automation
9
Automation & tools
7
Drop a receipt anywhere in a folder — AI logs it automatically
Vision model infers purchase rationale even when receipts don't say why
PRD-first prompting keeps AI from losing track across build phases
AI tools & automation
YouTube
How top AI teams build LLM judges for reliable products
Dylan Davis
February 25, 2025
AI tools & automation
10
Iteration & feedback loops
7
Automation & tools
6
Binary pass/fail evals beat gradient scales every time
Expert reasoning, not just verdicts, is what trains good judges
Human judges the judge to close the quality loop over time
AI strategy & adoption
YouTube
Why successful AI companies obsess over evaluations
Dylan Davis
February 20, 2025
AI strategy & adoption
9
Iteration & feedback loops
7
You can't improve a multi-step agent without knowing which step fails.
Binary yes/no criteria beat subjective rating scales every time.
Start with AI-written unit tests before touching eval infrastructure.
Closing techniques
YouTube
Using ChatGPT voice mode to rehearse high-stakes conversations
Dylan Davis
February 18, 2025
Closing techniques
8
AI tools & automation
7
Resilience & grit
6
Assign AI a buyer persona to rehearse sales pitches safely.
A trigger phrase pauses roleplay for instant mid-session coaching.
Iterative Socratic questions beat one-shot AI advice for self-reflection.
AI tools & automation
YouTube
Practical techniques to improve RAG retrieval without complexity
Dylan Davis
February 13, 2025
AI tools & automation
9
Iteration & feedback loops
6
Beginner-mode fundamentals beat most advanced RAG techniques.
Chunking at meaning boundaries, not arbitrary character counts, transforms retrieval.
Metadata filters combined with re-ranking cut noise from retrieved results.
AI tools & automation
YouTube
A five-step process for building production-ready AI apps
Dylan Davis
February 11, 2025
AI tools & automation
10
MVP & prototyping
7
A living markdown checklist keeps AI on track across the entire build
Test-driven development creates a self-correcting micro reinforcement loop
Dictating ideas beats typed prompts — typos never matter to the model
AI tools & automation
YouTube
A structured three-step process for building apps with AI
Dylan Davis
February 6, 2025
AI tools & automation
10
Processes & SOPs
7
MVP & prototyping
5
Why letting AI take control makes you lose hours to circular errors
Tests written before each feature create a self-correcting AI feedback loop
Handoff prompts between sessions prevent context drift from derailing builds
Automation & tools
YouTube
Automating meeting notes with AI transcription and CRM logging
Dylan Davis
February 4, 2025
Automation & tools
9
AI tools & automation
8
Voice memos and Zoom calls auto-transcribed, summarised, and filed instantly
Claude Haiku extracts names and action items — no manual parsing needed
A markdown checklist keeps AI-assisted Cursor builds on track phase by phase
AI tools & automation
YouTube
Let AI write your prompts: the 80/20 approach to prompt engineering
Dylan Davis
January 30, 2025
AI writes better system prompts than most humans can
Anthropic and OpenAI both offer free built-in prompt generators
No API credits? Any free chat model can do the same job
AI tools & automation
YouTube
How to prompt reasoning models for better outputs
Dylan Davis
January 28, 2025
AI tools & automation
10
Prompt engineering
9
Your ChatGPT habits actively hurt performance in reasoning models.
A six-section prompt structure unlocks far higher output quality.
Embed a writing diff in the system prompt to clone your style.