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 tools & automation 9
  • 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.

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