Like most employees at most companies, I wear a few different hats around Tectonic. Whether I’m building a data model, creating and scheduing an email campaign, standing up a platform generative AI is always at my fingertips.

At my very core, I’m a marketer. Have been for so long I do it without eveven thinking. Or at least, everyuthing I do has a hat tip to its future marketing needs.

Today I want to share some of the AI content generators I’ve been using, am looking to use, or just heard about.

But before we rip into the insight, here’s a primer.

Types of AI Content Generators

ChatGPT, a powerful AI chatbot, drew significant attention upon its November 2022 release. While the GPT-3 language model behind it had existed for some time, ChatGPT made this technology accessible to nontechnical users, showcasing how AI can generate content. Over two years later, numerous AI content generators have emerged to cater to diverse use cases.

This rapid development raises questions about the technology’s impact on work. Schools are grappling with fears of plagiarism, while others are embracing AI. Legal debates about copyright and digital media authenticity continue. President Joe Biden’s October 2023 executive order addressed AI’s risks and opportunities in areas like education, workforce, and consumer privacy, underscoring generative AI’s transformative potential.

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What is AI-Generated Content?

AI-generated content, also known as generative AI, refers to algorithms that automatically create new content across digital media. These algorithms are trained on extensive datasets and require minimal user input to produce novel outputs.

For instance, ChatGPT sets a standard for AI-generated content. Based on GPT-4o, it processes text, images, and audio, offering natural language and multimodal capabilities. Many other generative AI tools operate similarly, leveraging large language models (LLMs) and multimodal frameworks to create diverse outputs.

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What are the Different Types of AI-Generated Content?

AI-generated content spans multiple media types:

1. Speech.
2. Video.
3. Code.
4. Music.
5. Image.
6. Written.

Despite their varied outputs, most generative AI systems are built on advanced LLMs like GPT-4 and Google Gemini. These multimodal models process and generate content across multiple formats, with enhanced capabilities evolving over time.

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How Generative AI is Used

Generative AI applications span industries:

• Digital Marketing: Producing copy, product descriptions, and social media drafts.
• Law: Drafting legal documentation.
• Art: Creating unique works and content ideas.
• Academia: Writing papers and long-form content.
• Software Development: Generating, summarizing, and remediating code.
• Cybersecurity: Accelerating threat detection and malware development.
• Manufacturing: Streamlining product development.
• Science: Automating and expediting drug discovery.

These tools often combine outputs from various media for complex, multifaceted projects.

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AI Content Generators

AI content generators exist across various media. Below are good examples organized by gen ai type:

Written Content Generators

• Gemini: Google’s conversational AI, offering multimodal search and integration with Gmail and Google Docs.
• Claude: Anthropic’s chatbot, capable of Slack integrations, thread summarization, and GUI interactions.
• Jasper AI: A long-form copywriting tool tailored to enterprise marketers.
• ChatGPT: OpenAI’s versatile chatbot with multimodal capabilities.
• Magic Write: Canva Docs’ AI generator for brainstorming and outlining.
• Perplexity AI: A search engine with source-backed answers.
• AI-Writer: A writing assistant focused on citations and SEO optimization.
• Rytr: A tool for generating tone-specific content for writers.
• Docs: Google’s AI-enhanced word processor.
• Spellbook: Legal drafting assistance for contract summaries and negotiation points.
• Wordtune: Sentence rewriting and citation generation.

Image Content Generators

• Midjourney: Discord-based image creation with painterly aesthetics.
• Craiyon: A text-to-image generator, formerly DALL-E mini.
• DALL-E: OpenAI’s image generator, capable of realistic edits and variations.
• Stable Diffusion: Photorealistic image creation with in-browser functionality.

Music Content Generators

• Dadabots: A neural network creating endless music streams.
• MusicGen: Hugging Face’s tool for generating audio from descriptions.
• Soundraw: Royalty-free background music generator.
• Suno: Song generation with mobile app integration.
• Amper Music: Matches music to video, with customizable durations.
• Udio: AI music creation based on user-specified inputs.

Code Content Generators

• GitHub Copilot: Generates code from natural language prompts.
• Tabnine: Predicts code patterns and supports multiple languages.
• Amazon Q Developer: Provides AWS-specific code recommendations.
• CursorAI: Integrates AI into code editors for contextual suggestions.
• Aider: AI-powered Git repository pair programming.
• CodeWP: WordPress-specific coding assistance.

Other AI Content Generators

• DuckAssist: A search engine feature providing concise summaries with citations.
• Duet AI: Google’s AI for Workspace Enterprise, generating insights across Sheets, Slides, and Gmail.
• Bing AI: Microsoft’s search engine with chatbot and image generation features.
• Grok: xAI’s conversational tool offering humorous, up-to-date responses.
• Creo: CAD software with generative design for physical objects.
• Absci: AI for personalized antibody design and drug discovery.
• Pi: A personal assistant chatbot offering advice and support.
• Supermeme.ai: Generates memes based on user input.
• You.com: Search engine with chatbot and multimodal capabilities.

These tools showcase how AI-powered content generation is revolutionizing industries, making content creation faster and more accessible.

I do hope you will comment below on your favorites, other AI tools not showcased above, or anything else AI-related that is on your mind.

Written by Tectonic’s Marketing Operations Director, Shannan Hearne.

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