How I Used AI In 2024 (Long Long List)

How most people were using AI in 2024:

• Prompt on ChatGPT

• "It's all a an inflated hype bubble" 

• Pretty pictures with MidJourney

• "Transformers = AGI"

How you could be using AI in 2024:

• Run multi-threaded research using Perplexity (choose your own adventure style)

• Orchestrate and automate a large number of small mundane tasks using MindStudio

  • Optimize your campaign budgets dynamically

  • Upload all docs + Legal Compliance Assistance: Ask questions and stay informed about your company's policies, procedures

  • Rapid HR candidate evaluation: See if a resume is a good fit for your job description + give it a score

  • persuasive sales proposals based on meeting notes, company data etc

  • Create new email funnel strategies designed to convert new customers

  • Resume Scanner: Quickly analyze resumes from potential candidates to simplify the hiring

  • Salary Band Generator: Create accurate salary bands for employees based on location

• Conduct 'synthetic' customer interviews that mimic real life with Synthetic Users (I know you're skeptical, but it works)

• Turn all your customers insights into an easy-to-understand visual storyboard using Jaide

• Compare all LLMs (price, general ability, speed etc) using ArtificialAnalysis

• Use Claude artefacts (Sonnet 3.5) to turn PDFs into interactive reports (by Anthropic) >> upload a report, ask it to be turned into a dashboard

• Build your own podcast using Digest.fm

• Implement GenAI knowledge/skills at scale in your team/org using Growth Tribe

• Understand current transformer models don't have persistent memory, don't have common sense, can't plan actions and are basically predictive models

• Prototype a new user onboarding flow in seconds with Uizard by Miro Labs

• Run free Open Source LLMs on your laptop with LM Studio or Ollama

• Use normal language to generate advanced search queries in Linkedin using Juicebox (best sourcing tool I’ve used to date)

• Make videos with Descript, Argil or Heygen 

• Run Open Source models locally on your mac with the delicious Jan.ai

• Build semi-autonomous worklflows that generate content at scale using Make

• Do Bid management and automated NER extraction, automated resume parsing and/or automated audio sentiment analysis to calculate Net Promoter Scores using Make

• Outbound lead generation using Reply or Artisan

• "Human in the loop is still crucial"

• Run AI Agents in your business with Crew.AI (one of the best in class)

• Run all your LLM prompts instantly by using Raycast (the ultimate productivity tool, Mac only sorry)

• Research a client right before a sales call using Perplexity, just ask for a 20 point bullet list of ELI5 of what they do + industry + what you do + possible objections

• Diagnosing your teams' or organisations' skills gaps in minutes using Workera’s Skill Map AI

• Get your company from AI skepticism > AI activation > AI experimentation > AI scaling to AI maturity

• Write small code pieces that enable dynamic, fine-grained architectures that are much more flexible and powerful than conventional IT using Cursor or GitHub co-pilot or Codeium

• Build the structure of a presentation in a minute with Gamma

• Create and visualize the landing page for a new product or campaign in seconds with Gamma

• Start thinking of a world will “Fully autonomous ventures/companies” (or semi-autonomous)

• Create audio episodes of anything using ElevenLabs

• Build a beautiful and editable landing pages or website (absolutely amazing and delicious) using Framer’s AI Tools

• Manage and reply to thousands of customer reviews weekly using Retool (possibilities are endless with Retool)

• Combining and discussing with 10's or 100's of reports using NotebookLM

• Designing a Conversational agent that manages all your incoming leads using FlowiseAI 

• See this as a period of co-intelligence, the seamless blend of human creativity and AI capability

• Run any and all LLMs from 1 interface using Poe

•  run free Open Source LLMs in your own cloud account using Hugging Face's TGI

• Uncover all the latest Research and Papers by following Ethan Mollick

• Manage a full image/video generation workflow with Comfyui

• Automatically grab all the invoices in your Gmail and stick them in a folder for your accountant using Viss.ai

• Optimize your campaign budgets, generate accurate forecasting insights or create accurate salary bands using MindStudio

• See your role as an orchestrator of AI agents, what would that look like?

• Predicting stock market crashes using ChatGPT (joking..too soon?)

• Quickly generate responses to important (or less important) emails using Merlin AI by Foyer (Merlin also lives in most of your messaging apps)

• Automating medical record knowledge management using LightOn's solutions

• Orchestrate sending tasks + execution requests to small & specialized models

• Paraphrase text to avoid AI detectors using Quillbot

• Job hunting?

  • Create a resume using Rezi

  • Edit/improve the resume using Huntr

  • Check optimize/resume with Enhancv

  • Find jobs with Careerflow

• Create personalized learning paths using adaptive AI tutors

• Upload multiple reports and gain correlated insights/chat with multiple reports at the same time using NotebookLM 

• 📚Read up on some of the most important reports from the past 1.5 years

- AI Index Report (Stanford)

- The state of AI in early 2024 (McKinsey)

- New Work New World (Cognizant)
 - AI Founder Report (Hampton)
 - How Generative AI Is Transforming Business And Society - BEAST of a report (OliverWyman)

- What’s next with AI? (The Verge) 

- GEN AI: TOO MUCH SPEND, TOO LITTLE BENEFIT? (Goldman Sachs)

- A Developer's Perspective On Risk/Rewards Of GenAI (Sonatype)

- The State of AI At Work (Asana/Anthropic)

Take the risks into account:

• inaccuracy/hallucinations in generative AI outputs 

• Risk of intellectual property infringement when uploading data = Risk of inputting personal data or proprietary organizational information into SaaS platforms with poor information security and data privacy practices.

• Risk of cybersecurity breaches due to vulnerabilities in generative AI systems (we still haven’t solved prompt injections)

• Risk of personal/individual privacy violations 

• Careful with non-compliance with regulatory requirements 

• lack of explainability in generative AI models affecting transparency

• Risk of inequity and fairness issues arising from biased generative AI algorithms 

• Risk of damage to organizational reputation due to genAI failures 

• Risk of workforce labor displacement due to automation by genAI  

• Risk of environmental impact from the energy consumption of generative AI 

• Risk of political instability influenced by generative AI-generated misinformation

• Clear things with security or compliance folks at your org first :) 

There’s so much more to come! We’re just getting started :)