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Jake Snider

**Discontinued, but absorbed rather than killed.** OpenAI launched Operator on 23 January 2025 as a research preview for ChatGPT Pro subscribers in the US. On 17 July 2025 it folded the capability into ChatGPT as **agent mode**, and the standalone Operator product shut down on **31 August 2025**.

What to use instead: agent mode inside ChatGPT, selected from the composer dropdown, is the direct continuation and reaches a much wider set of paid tiers than the Pro-only preview ever did. This is a consolidation story, not a failure — worth distinguishing, because a shutdown notice usually is not.

What Operator demonstrated: an agent that could see a web page, navigate it and finish a task without human intervention, aimed squarely at the form-filling and booking workflows that otherwise demand manual effort or brittle automation scripts. Its limits were the predictable ones for early tooling — changing layouts, awkward forms, and sites actively defending against automation — and its pricing was never transparent enough to model a return on.

Discontinued 31 August 2025; operator.chatgpt.com is no longer a separate product

Never published transparent pricing during its run

Struggled with messy page layouts and sites running anti-bot measures

Handled real web tasks — forms, bookings, ordering — without custom integrations

Natural-language interface, far lower friction than scripted RPA

Its capability lives on inside ChatGPT rather than having been discontinued outright

## OpenAI Operator: Browser-Using AI Agent

OpenAI Operator is OpenAI's browser-using AI agent — powered by their Computer-Using Agent (CUA) model that looks at a webpage and interacts with it through clicks, typing, and scrolling. Operator handles repetitive browser tasks: filling forms, ordering groceries, booking dinner reservations, compiling research lists, even creating memes.

Launched January 23, 2025 to ChatGPT Pro users in the US at operator.chatgpt.com. Distinct from ChatGPT Agent (which is the broader agentic mode in ChatGPT) — Operator is the dedicated browser-control surface.

**Status note (August 2025):** OpenAI retired Operator as a standalone product on August 31, 2025 and folded its computer-use capabilities into ChatGPT Agent. The successor is listed in this directory as ChatGPT Agent.

### Key Features
- Computer-Using Agent (CUA) model that operates browsers natively
- Click, type, scroll across any web interface
- Handles multi-step browser tasks autonomously
- Take-over mode: pause and let users intervene at sensitive steps
- Available at operator.chatgpt.com to ChatGPT Pro subscribers

### Ideal Use Case
Knowledge workers offloading repetitive browser tasks (research, form-filling, scheduling, ordering), and any workflow that involves multi-step browser navigation that's tedious but not literally impossible to do manually.

### Why Use OpenAI Operator
Browser-using AI is the agentic-AI use case with the most concrete product-market fit so far. Operator sits in the ChatGPT-product family, which means it inherits reach + identity + payment that purpose-built browser-agent startups (Browser Use, Stagehand) don't have.
### FAQ

**What can OpenAI Operator do for me?**
OpenAI Operator is an AI agent that interacts with websites on your behalf. It can view webpages, click buttons, type text, and scroll through sites to complete tasks like booking reservations, placing orders, and filling out forms without manual effort.

**Who should use OpenAI Operator?**
OpenAI Operator is designed for anyone looking to automate repetitive web-based tasks, from professionals managing bookings and purchases to individuals who want to delegate routine form-filling and online shopping to an AI agent.

**How much does OpenAI Operator cost?**
OpenAI Operator is a paid tool. For details on current pricing and available plans, visit the OpenAI Operator pricing page at https://operator.chatgpt.com.

**How does OpenAI Operator compare to other AI tools?**
Unlike general conversational AI tools like ChatGPT, Gemini, or Perplexity.ai, OpenAI Operator is specifically built to take actions on websites by controlling a browser rather than just answering questions or generating text. This makes it suited for users who need autonomous task execution across the web.

**Q: What happened to OpenAI Operator?**
A: OpenAI shut the standalone Operator preview on August 31, 2025 and folded its browser-automation capabilities into ChatGPT Agent, which is the direct successor and is available inside ChatGPT.

### tl;dr
OpenAI's browser-using AI agent. CUA model + ChatGPT integration. The most consumer-visible AI-controls-a-browser product.

### Related

Looking for more options? Browse the [Productivity](/top-ai-categories/productivity) directory or read our [best AI productivity tools](/best-ai-collections/top-ai-tools-to-boost-your-productivity) listicle. OpenAI Operator has a [Wikipedia entry](https://en.wikipedia.org/wiki/OpenAI_Operator) and is tracked on [Crunchbase](https://www.crunchbase.com/organization/openai-operator).


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OpenAI Operator

OpenAI's browser-using AI agent — Operator looks at webpages, clicks, types, and scrolls to handle tasks like booking, ordering, and form-filling autonomously.

**Ownership note (verified 28 August 2026).** Lightning AI and Voltage Park **completed a merger on 21 January 2026**, forming a combined company valued at over $2.5 billion with roughly $500 million in annual recurring revenue. This was a merger rather than a takeover, and the combined business **operates under the Lightning AI name**. It pairs Lightning's PyTorch platform — around 400 million downloads and 240,000 developers — with Voltage Park's 35,000 NVIDIA GPUs across six US data centres, making it the third-largest "neocloud" by GPU count behind CoreWeave and Nebius. Voltage Park is unusual in being funded by a $900 million grant from the Navigation Fund, so the combined entity carries no acquisition debt.

That changes the shape of this product. Lightning AI wraps PyTorch in a workflow covering training, deployment and inference without making you learn another DSL, and if you already live in PyTorch the friction is genuinely lower than assembling Ray, Kubernetes and a custom CI/CD rig yourself. What is new is that the compute underneath is now its own. The earlier read on this listing — that the positioning was narrow — is no longer the right frame: this is now a software-plus-compute cloud rather than a layer on top of someone else's.

The standing caveat has not moved. Pricing is still a black box ("Inquire"), which usually signals bespoke or expensive, and that remains a real friction point when you are trying to size a build before you have talked to sales. If you are committed to PyTorch and need managed scale, you will probably still end up paying it.

Pricing remains opaque ("Inquire"), which makes fit hard to assess before talking to sales

Still specialist infrastructure — not a general AI platform or a code-generation tool

The merger is recent enough that the combined roadmap is not yet proven

PyTorch-native, minimal friction for existing model codebases

Since the January 2026 merger, the software runs on in-house GPU capacity rather than resold compute

End-to-end workflow reduces the DIY infrastructure burden

## Lightning AI: The Platform for Teams to Build AI with PyTorch, Lightning Fast

Lightning AI is a platform designed for teams to build AI without the headaches. It offers a comprehensive suite of tools for developing, training, and deploying AI models with PyTorch. The platform is powered by PyTorch Lightning, an open-source library that simplifies the process of training and deploying PyTorch models. Lightning AI provides a seamless experience for teams to develop models and AI products without cloud headaches, train large language models (LLMs) with fault-tolerance, and deploy high-availability, scalable models.

### Key Features:

- Develop, Train, and Deploy AI Models
- Integration with PyTorch
- Support for Large Language Models (LLMs), Transformers, and Stable Diffusion
- Compatibility with S3, Snowflake, BigQuery
- Private VPC Environment
- Open Source Libraries: PyTorch Lightning, Lightning Fabric, TorchMetrics

### Ideal Use Case:

Perfect for AI developers, data scientists, and organizations looking to build, optimize, and deploy AI models efficiently using PyTorch.

### Why use Lightning AI:

- Simplifies the AI development process
- Offers fault-tolerance and scalability
- Ensures high availability and security
- Supports a wide range of AI models and data sources
- Open-source libraries for flexibility and control

### FAQ

**What does Lightning AI do?**
Lightning AI is a platform designed to help developers train, deploy, and build AI applications using PyTorch. It streamlines the workflow from model development to production, enabling faster iteration and deployment cycles.

**Who should use Lightning AI?**
Lightning AI is built for developers and machine learning engineers who work with PyTorch and want to accelerate their AI development process. It's ideal for teams looking to move from experimentation to production more efficiently.

**How much does Lightning AI cost?**
Lightning AI operates on a paid pricing model. Visit the Lightning AI pricing page for current plans and to inquire about pricing that matches your needs.

**How does Lightning AI compare to similar tools?**
Unlike code-focused tools like GitHub Copilot and Cursor, Lightning AI specializes in the full AI model lifecycle—training, deployment, and building—rather than general code generation. It serves a different use case than UI generation tools like v0, focusing on PyTorch-based machine learning workflows.

### tl;dr:

Lightning AI is a robust platform that empowers teams to create AI solutions without the complexities. With its integration with PyTorch and a focus on speed and efficiency, it's a valuable tool for modern AI development.
### Related

Looking for more options? Browse the [Developer Tools](/top-ai-categories/developer-tools) directory or read our [best AI coding tools](/best-ai-collections/top-7-ai-coding-assistants-for-engineering-teams) listicle. Lightning AI is also tracked on [Crunchbase](https://www.crunchbase.com/organization/lightning-ai).


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Lightning AI

Platform to train, deploy, and build AI with PyTorch; merged with Voltage Park in January 2026 to form a $2.5B AI cloud.

**Retired.** OpenAI shut down DALL·E 3 and DALL·E 2 on 12 May 2026. Requests using the `dall-e-3` model ID now return an error, and the product had already stopped being ChatGPT's default image generator in December 2025, when GPT Image 1.5 replaced it and existing users were migrated automatically.

What to use instead: image generation inside ChatGPT now runs on OpenAI's GPT Image line, currently GPT Image 2, which handles rendered text far more reliably than DALL·E ever managed. It is included with ChatGPT Plus and Pro. If you came here from an older comparison, that is the direct successor.

For the record, what DALL·E 3 was good at: it understood ordinary descriptive language, so you did not need to learn prompt syntax to get a usable result, and iterating conversationally inside ChatGPT beat working through a standalone web interface. Its weaknesses were consistency — the same prompt could diverge significantly across runs — and an access story that never matched its "free" reputation, since you needed a paid ChatGPT account throughout.

Retired 12 May 2026 — requests using the dall-e-3 model ID now return an error

Always required a paid ChatGPT account despite being listed as free

Output varied noticeably between runs on the same prompt

Understood plain descriptions without prompt-engineering tricks

Conversational iteration inside ChatGPT rather than a separate web tool

Reasonable quality for non-specialist use

**Status note (May 2026):** OpenAI retired DALL·E 3. GPT Image replaced it as ChatGPT’s built-in image generator in December 2025, and the DALL·E API was shut down on May 12, 2026. The product no longer exists as an adoptable tool.

## DALL·E 3: Creating Realistic Images and Art from Text Descriptions

DALL·E 3 is an advanced AI system developed by OpenAI that can generate original, realistic images and art based on a text description. It is an extension of the original DALL·E, introduced in January 2021, and offers more realistic and accurate images with 4x greater resolution.

### Enhanced Understanding of Nuance and Detail:

DALL-E 3 is designed to understand significantly more nuance and detail compared to previous systems. This enhancement allows for the translation of ideas into exceptionally accurate images.

### Improved Text-to-Image Translation:

The new text-to-image model in DALL-E 3 can translate nuanced requests into extremely detailed and accurate images, making it a powerful tool for visual representation of ideas.

### Integration with ChatGPT Plus & Enterprise:

DALL-E 3 will be integrated into ChatGPT Plus and Enterprise, which can help users craft amazing prompts to bring their ideas to life.

### Research Preview and API Availability:

DALL-E 3 is currently in research preview and will be available to ChatGPT Plus and Enterprise customers in October via the API.

### Enhanced Image Generation:

The examples shared in the forum indicate that DALL-E 3 can generate well-defined and detailed imagery, capturing the semantics of the prompt more accurately.

### Creative and Business Applications:

In the alpha plugin tested by some community members, DALL-E 3 was able to create not only artistic images but also business documents, signs, logos, infographics, and more.

## Ideal Use Case:

DALL·E 3 is ideal for artists, designers, and content creators who need to generate unique and realistic images based on specific descriptions. It can be used for creating digital art, illustrations, and other visual content.

## Why use DALL·E 3:
- 
- Generate realistic images from text descriptions
- Create original and unique art
- Save time and effort in creating visual content
- Explore new creative possibilities
- Benefit from safety mitigations and responsible deployment

### FAQ

**What is DALL·E 3 and what can it do?**
DALL·E 3 is an AI system that creates realistic images and art from natural language descriptions. You describe what you want to see in words, and the tool generates visual content based on your text.

**Who should use DALL·E 3?**
DALL·E 3 is ideal for designers, artists, marketers, and anyone who needs to generate custom images quickly without advanced design skills. It works for both professional projects and creative exploration.

**How much does DALL·E 3 cost?**
DALL·E 3 is available as a free tool. Visit the DALL·E 3 pricing page for current plans and any usage limits associated with free access.

**How does DALL·E 3 compare to similar tools?**
DALL·E 3 competes with other AI image generators like Midjourney, Runway, and Krea AI. Each tool has different strengths in image quality, interface design, and pricing models, so comparing them directly can help you find the best fit for your workflow.

**Q: What happened to DALL·E 3?**
A: OpenAI retired it. GPT Image replaced DALL·E 3 as ChatGPT’s default image generator in December 2025, and the DALL·E API was shut down on May 12, 2026. For current image generation, look at GPT Image, Adobe Firefly, Midjourney, or FLUX.

### tl;dr
DALL·E 3 empowers users to express themselves creatively and explore new artistic possibilities. It also helps us understand how advanced AI systems perceive and interpret our world, contributing to the development of AI that benefits humanity.
### Related

Looking for more options? Browse the [AI Art & Image Creation](/top-ai-categories/ai-art-and-image-creation) directory or read our [best AI image generators](/best-ai-collections/top-6-ai-image-generators-compared-2026) listicle. DALL·E 3 is also tracked on [Crunchbase](https://www.crunchbase.com/organization/dalle-3).


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DALL·E 3

DALL·E 3 is an AI system that creates realistic images and art from natural language descriptions.

v0 generates React, Next.js, and Tailwind code from a prompt, a screenshot, or a Figma frame, then lets you edit visually in Design Mode, sync to GitHub, and deploy behind a URL. Owning the hosting is the advantage: generate, refine, ship, and share a preview without leaving the toolchain. It is also the constraint, since the value concentrates for teams already standardised on Vercel and Next.js and thins considerably for everyone else.

The commercial model has moved and buyers should re-read it. Plans carry a credit allowance that usage draws down at per-token model rates across four model tiers, from a cheap small model to a fast premium one that costs an order of magnitude more. Two consequences: cost tracks how much you iterate and which model you pick rather than how many seats you buy, and the free tier’s daily message cap makes it a trial rather than a working allowance.

Output quality still needs review before production, which is the normal state of this category. Worth noting for anyone with sensitive code: training opt-out is on by default only from the Business tier, and the enterprise tier is where the contractual never-train commitment lives.

Credit and token metering makes project cost hard to predict up front

Training opt-out only arrives by default at the Business tier

Prompt, screenshot, or Figma frame to deployable Next.js in one toolchain

Design Mode visual editing plus GitHub sync, so code leaves with you

Four model tiers let you match spend to how hard the task actually is

## v0 by Vercel: Chat-Driven AI App and UI Builder for Modern Web Stacks

v0 by Vercel turns plain-language prompts into production-grade React, Next.js, and Tailwind code. It generates UI, full-stack pages, API routes, and whole apps, then lets you iterate by chat, paste a screenshot to clone a layout, or refine components one at a time. Frontend and full-stack engineers, designers, and product managers use it to skip boilerplate and get a polished, deployable UI on day one.

### Key Features:
- Prompt-to-app generation with React, Next.js App Router, and Tailwind output
- Image-to-UI: paste a screenshot or Figma frame and get matching components
- shadcn ui components and design system support out of the box
- Design Mode for visual editing, with version history, branches, and shareable links
- GitHub sync and code export, so projects live in your own repo
- One-click deploy to Vercel with custom domains, edge runtime, and preview URLs
- API route, server action, and database wiring inside the same chat
- Model choice across v0 Mini, Pro, Max, and Max Fast, priced per token
- Team workspaces with centralised billing, shared credits, and role-based access

### Pricing
Credit-based, on top of per-token model pricing:
- **Free** — $5 of included monthly credits, Design Mode, GitHub sync, 7 messages a day.
- **Plus** — $30/user/month, $30 of monthly credits plus $2 of free daily credits on login, team collaboration and shared chats.
- **Business** — $100/user/month, same models and credit model, with training opt-out by default.
- **Enterprise** — custom: data never used for training, SAML SSO, role-based access control, priority performance.

Model rates per million tokens run from v0 Mini ($0.20 in / $1.20 out) through v0 Pro ($2 / $10), v0 Max ($5 / $25), and v0 Max Fast ($10 / $50).

### Ideal Use Case:
Product teams already living in the Vercel and Next.js stack, indie developers shipping side projects, and designers who want production React from a screenshot. It is the shortest path from a Figma frame to a live, responsive app.

### How v0 differentiates:
Most AI coding tools stop at code. v0 owns the whole path — generate, edit visually, deploy, and get a URL — because the company that makes it also runs the hosting. That is the advantage and the constraint: the value concentrates if you are already on Vercel and Next.js, and thins out if you are not. Worth understanding before you commit: pricing is credit- and token-based rather than a flat seat fee, so heavy iteration on the larger models is what drives cost, and the free tier's 7-messages-a-day limit is a trial rather than a working allowance. Training opt-out arrives by default only on Business and above.

### FAQ

**Is v0 free?**
There is a free tier with $5 of monthly credits, Design Mode, GitHub sync, and a limit of 7 messages a day. Paid plans are Plus at $30/user/month, Business at $100/user/month, and custom Enterprise.

**How does v0 pricing actually work?**
Plans include a credit allowance, and usage draws against it at per-token model rates: v0 Mini is cheapest ($0.20 in / $1.20 out per million tokens), rising through v0 Pro, v0 Max, and v0 Max Fast ($10 / $50). Cost tracks how much you iterate and which model you pick, not just the seat count.

**What stack does v0 generate?**
Modern React with the Next.js App Router, Tailwind, and shadcn ui by default, and it will wire in API routes, server actions, and a database in the same chat.

**Can I clone a screenshot?**
Yes. v0 accepts images and Figma frames as input and produces matching components.

**Is the code mine?**
Yes. You can export code, sync to GitHub, and host it anywhere. One-click deploy to Vercel with SSL and preview URLs is native, but not required.

**Is my code used for training?**
Business plans have training opt-out on by default, and Enterprise states your data is never used for training. On Free and Plus, check the current terms before putting sensitive work through it.

### tl;dr:
v0 turns prompts and screenshots into deployable Next.js and Tailwind apps, and it is closest to essential if your team already ships on Vercel. Free tier gives $5 of credits and 7 messages a day; Plus $30/user/month, Business $100/user/month with training opt-out, Enterprise custom. Costs are credit- and token-based, so iteration depth drives the bill.

### Related

Looking for more options? Browse the [Developer Tools](/top-ai-categories/developer-tools) directory or read our [best AI coding tools](/best-ai-collections/top-7-ai-coding-assistants-for-engineering-teams) listicle. v0 is also tracked on [Crunchbase](https://www.crunchbase.com/organization/v0).


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Vercel collaborative assistant that designs, ships full-stack web apps fast.

Replit’s pitch is end-to-end: describe an app, and the agent writes it, provisions a managed database, wires authentication, and publishes it, all in one workspace. Nothing else in the category removes as much operational setup, which is why founders and product managers reach for it to build internal tools and client portals without an engineering team.

The 2026 shape of the product is worth knowing in detail. Agent 4 runs tasks in parallel, and how many agents you can run at once is a paid tier distinction: two on the mid plan, ten on the professional one, alongside larger collaborator and viewer counts, access to the strongest models, and month-long database rollbacks. Enterprise adds single sign-on, single-tenant environments, region selection, and private networking.

The pricing model is the thing that catches people. Credits are consumed by effort, so a single ambitious build can burn more than a month of small tasks, and per-project cost stays genuinely hard to forecast. Generated apps also still need real refinement before they carry production traffic — treat the output as a fast first draft with infrastructure attached.

Effort-based credits make per-project cost hard to forecast

Generated apps need meaningful refinement before production traffic

Agent, hosting, database, and auth in one workspace removes real ops setup

Free Starter tier lets you validate the agent workflow before paying

Parallel agents scale with the plan, from two to ten concurrent tasks

## Replit turns ideas into deployable apps with AI

Replit is an AI-first app-building platform powered by Agent 4 — an autonomous coding agent that builds, deploys, and ships full-stack applications from natural-language prompts. Founded in 2016 as a browser IDE, Replit pivoted in 2024–2026 to focus on "vibe coding": users describe what they want, and the Agent writes the code, provisions the database, sets up authentication, and publishes the app — all from one workspace.

### Key Features (2026)

- **Agent 4** — autonomous AI that turns prompts into working apps with parallel task execution.
- **Parallel Agents** — 2 agents at once on Core, up to 10 on Pro, working across different parts of a project.
- **Built-in full-stack infrastructure** — authentication, managed database, object storage, and monitoring with zero setup.
- **One-click deployments** — Autoscale, Reserved VM, Static, and Scheduled deployment types.
- **Multiplayer editor** — real-time collaboration, up to 15 collaborators and 50 viewers on Pro.
- **50+ language runtimes** — Python, JavaScript, TypeScript, Go, Rust, Ruby, and more.
- **Mobile app** — code and ship from iOS or Android.

### Pricing

Effort-based: each plan includes a monthly credit allowance that the Agent draws down as it works.

- **Starter** — Free. Daily Agent credits, built-in database, 1 published project, private or password-protected deployments.
- **Core** — $20/month billed annually ($25 monthly). $25 in monthly credits, up to 5 collaborators, 2 parallel agents, unlimited workspaces, branding badge removed.
- **Pro** — $95/month billed annually ($100 monthly). $100 in monthly credits, 15 collaborators and 50 viewers, 10 parallel agents, access to the most capable models, 28-day database rollbacks, premium support.
- **Enterprise** — Custom. SSO/SAML, advanced privacy controls, single-tenant environments, region selection, static outbound IPs, VPC peering, dedicated support.

### Best For

- **Founders and PMs** prototyping internal tools, client portals, and sales apps without an engineering team.
- **Developers** who want to skip boilerplate and ship full-stack MVPs in hours.
- **Educators and students** learning to code with AI scaffolding.
- **Teams** building business apps, dashboards, and mobile MVPs end-to-end in one tool.

### Replit vs. Cursor vs. Bolt vs. Lovable

- **Replit** — full-stack app platform; agent + hosting + database + deploys in one workspace. Best for shipping a working app, not just code.
- **Cursor** — AI-native IDE for engineers; lives on your machine, BYO infra.
- **Bolt** — browser-based agent focused on web apps; lighter on hosting/infra than Replit.
- **Lovable** — design-led app builder; strong on UI generation, less depth on backend infra.

### FAQ

**Is Replit free?**
Yes. The Starter tier is free with daily Agent credits and one published project. Paid tiers add credits, collaborators, parallel agents, and stronger models.

**How does Replit pricing work?**
It is effort-based. Core ($20/month annually) includes $25 in monthly credits and Pro ($95/month annually) includes $100; the Agent consumes credits according to how much work a task takes, so a heavy build can cost more than a light month of many small ones. Budget for iteration, not just the subscription.

**What happened to Ghostwriter?**
Ghostwriter was retired in 2024 and replaced by Replit's Agent system. Agent 4 (2026) is the current AI offering.

**Can Replit build production apps?**
Yes. Pro and Enterprise tiers support private deployments, 28-day database rollbacks, custom domains, single-tenant environments, and VPC peering for production workloads.

**Do I need to know how to code?**
No. Agent 4 is built for non-technical users to describe an app in plain English and have it built and deployed. Developers can drop into the editor at any time to customize.

### Related

Looking for more options? Browse the [Developer Tools](/top-ai-categories/developer-tools) directory or read our [best AI coding tools](/best-ai-collections/top-7-ai-coding-assistants-for-engineering-teams) listicle. Replit has a [Wikipedia entry](https://en.wikipedia.org/wiki/Replit) and is tracked on [Crunchbase](https://www.crunchbase.com/organization/replit).


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Replit

AI agent that turns ideas into deployable apps in minutes — no coding required.

Speaking practice has always been gated by access to a coach or the nerve to record yourself and watch it back. Yoodli removes both barriers, and the design decision that matters is privacy: sessions are yours unless you share them, which is what makes people actually practise the awkward parts.

For teams, the interesting half is the enablement tooling rather than the feedback engine. Custom scenarios, rubric-based scoring, manager dashboards, SSO and SCIM provisioning, and LMS and HRIS integrations turn practice reps into something an L and D function can report on. Named users include Google, Sandler, Korn Ferry, and a large Toastmasters population, which is unusually concrete social proof for this category.

Two caveats for buyers. The free Starter plan grants five lifetime roleplay sessions, so it is a demo rather than a trial you can run a team through. And exclusion of your session data from AI training begins at the Advanced tier, which means a privacy-sensitive organisation should not evaluate on the cheaper individual plan and assume the same terms apply.

Free tier is five lifetime sessions rather than a monthly allowance

Training-data exclusion only starts at the Advanced tier

Private-by-default practice, which is what makes people rehearse honestly

Rubric scoring, dashboards, SSO, SCIM, and LMS integrations for enablement teams

SOC 2 Type 2 and GDPR compliance on every tier

## Yoodli: AI Speech Coach and Roleplay Platform

Yoodli is an AI speech coach for communication practice — public speaking, sales pitches, crucial conversations, interview prep — with private feedback on filler words, pacing, clarity, and engagement. You practise against an AI counterpart or record yourself, and Yoodli scores the attempt instead of leaving you to guess how it landed.

Used by Google, Sandler, Korn Ferry, and 300,000+ Toastmasters members. The company defines a "roleplay" as any practice session over 30 seconds, which is worth knowing because the individual plans meter usage that way.

### Key Features
- Live AI roleplays for sales pitches, objection handling, and difficult conversations
- Feedback on filler words, pacing, clarity, and engagement, private by default
- Analysis of your own call recordings alongside practice sessions
- Custom scenarios, rubric-based scoring, and manager dashboards on Team and Enterprise
- SSO, SCIM provisioning, and LMS/HRIS integrations for enablement programs
- SOC 2 Type 2 certified and GDPR compliant on every tier

### Pricing
- **Starter** — free, 5 lifetime roleplay sessions.
- **Pro** — $8/month billed annually, up to 10 roleplays a week, live roleplays and recording feedback.
- **Advanced** — $20/month billed annually, unlimited roleplays, and your session data excluded from AI training.
- **Team / Enterprise** — custom, priced on team size: unlimited custom scenarios, rubric scoring, admin controls, SSO/SCIM, LMS and HRIS integrations.

### Ideal Use Case
Sales reps rehearsing pitches and objection handling, professionals preparing presentations, managers walking into a performance conversation, and L&D teams that need practice reps at a scale human coaching cannot reach.

### How Yoodli differentiates
Speaking practice used to require a coach, a peer group, or the nerve to record yourself and watch it back. Yoodli makes the reps private and repeatable, and on the enterprise side it turns them into something an L&D team can actually measure — custom scenarios, a scoring rubric, and dashboards showing who practised what. Two caveats: the free tier is 5 lifetime sessions rather than an ongoing allowance, and data exclusion from AI training starts at the Advanced tier, so privacy-sensitive buyers should not evaluate on Pro.

### FAQ

**Is Yoodli free?**
There is a free Starter plan, but it is capped at 5 lifetime roleplay sessions rather than a monthly allowance. Pro is $8/month billed annually for up to 10 roleplays a week, and Advanced is $20/month for unlimited practice.

**Are my Yoodli recordings private?**
Recordings are private to you unless you choose to share them. Yoodli is SOC 2 Type 2 certified and GDPR compliant across all tiers, and the Advanced, Team, and Enterprise plans exclude your session data from AI training by default.

**What counts as a roleplay?**
Any practice session longer than 30 seconds — AI sales roleplays, objection handling, pitch practice, or feedback on an uploaded call recording. That definition is what the weekly and lifetime limits count against.

**What do Team and Enterprise plans add?**
Unlimited custom roleplay scenarios, team and manager dashboards, rubric-based scoring, SSO and SCIM provisioning, LMS and HRIS integrations, and advanced admin controls. Pricing is quoted on team size and use case.

**Who uses Yoodli?**
Sales teams, L&D and enablement functions, and individual speakers. Named users include Google, Sandler, Korn Ferry, and more than 300,000 Toastmasters members.

### tl;dr
AI speech coach and roleplay platform. Free Starter is 5 lifetime sessions; Pro $8/month annually for 10 roleplays a week; Advanced $20/month for unlimited plus training-data exclusion; Team and Enterprise add custom scenarios, rubric scoring, dashboards, SSO/SCIM. SOC 2 Type 2 and GDPR on every tier.

### Related

Looking for more options? Browse the [Education & Learning](/top-ai-categories/education-and-learning) directory or read our [best AI education tools](/best/ai-tools-for-students) listicle. Yoodli is also tracked on [Crunchbase](https://www.crunchbase.com/organization/yoodli).


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Yoodli

AI speech coach + roleplay platform — practice presentations, sales pitches, crucial conversations with private real-time feedback. Trusted by Google, Sandler, Toastmasters.

Jake Snider

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