Digital First AI

A one-sentence summary

DFIRST AI is an AI marketing workflow platform that originated from Digital First AI; users can connect various elements such as research data, copywriting content, images, and videos within a visual dashboard to carry out the entire process, from gaining market insights to creating advertising materials.

Tool Introduction

DFIRST AI is operated by the Polish company DFirst.AI Sp. z o.o., and it serves marketers, advertising agencies, e-commerce brands, as well as corporate content teams. The platform features a workspace, project management tools, a Data Room, and whiteboard functions, which help to keep the data related to different marketing campaigns separate from one another.

The old brand Digital First AI has been replaced by DFIRST AI; the original name may still appear in older applications and documentation. The focus of the current product has shifted from marketing strategy templates to research, creative production, and multi-modal Agent workflows.

Core product components

Main functions

Visual workflow whiteboard

Users can drag data, agents, and outputs onto the whiteboard, and use connections to define how information flows. Each node can have its own prompts and model assigned to it, which makes it suitable for conducting branch tests and creating multi-step content.

Multi-model AI Agent

The platform integrates various text, image, and video processing capabilities such as Claude, GPT, Gemini, Grok, Flux, Stable Diffusion, Ideogram, Recraft, Kling, and others. The specific models available may vary depending on the supplier and package chosen; therefore, the version names mentioned in older documentation should not be considered as permanently valid.

Market research and in-depth analysis

Research nodes allow one to use tools such as search, Perplexity, company research, and Deep Research to gather information on the market, competitors, and target audiences. For marketing conclusions, it is still necessary to refer to the original data, especially statistics, prices, and the features of competitors.

Web and social media content scraping

The Scraper node can extract content from websites as well as from public platforms such as Instagram, TikTok, YouTube, LinkedIn, Facebook, and Reddit. Users must comply with the rules of the target platforms, as well as with copyright and personal data regulations.

Data Room

A Data Room is used to store brand descriptions, product information, audience data, and historical content, enabling multiple users to share a consistent context. The supported file types include PDF, DOCX, CSV, PPTX, Markdown, audio and video files, as well as web pages.

Copy generation

Text nodes can be used to generate ad titles, body texts, emails, scripts, landing page content, and rewritten versions. Teams should include the brand’s tone, facts, legal statements, and prohibited expressions in the review process.

Image creation and editing

The image tools include functions for handling product images, generating them, enlarging them, removing backgrounds, making local edits, and applying various Stable Diffusion processes. The outputs generated by these models may contain errors in terms of product details, text, and trademarks; therefore they cannot be used as a substitute for a thorough review of the final product.

Video generation

Video nodes allow for the creation of videos from text or images, as well as the conversion of storyboards into videos and their scaling up, thereby helping teams to produce various versions of short advertisements. The generation time, quota, resolution, and availability of models depend on the package chosen and the supplier.

Workflow templates and replication

Teams can save and replicate whiteboard processes, using established research, strategies, copywriting elements, and steps for new products or markets. After replication, it is still necessary to update brand information, target audience, language, and compliance requirements.

Create a marketing workflow from scratch

1. Create workspaces and divide the data boundaries by brand, product, or customer.
2. Create a new project and an empty Whiteboard, and specify the goals of the activity as well as the required delivery format.
3. Drag files, pages, or Data Room materials into the whiteboard.
4. Add research agents to gather information on the market, competitors, and target audience.
5. Add text, image, or video agents, and select a model for each node.
6. Use connections to transmit the research findings to the strategy, copywriting, and creativity nodes.
7. Execute each one and check the results, then add branches or modify the prompts.
8. Save the validated whiteboard as a template for the team to reuse.

Data Room Usage Guide

1. Only upload materials related to the current brand and campaign, and avoid including irrelevant personal information.
2. Give the files clear names based on company, product, audience, tone, and regulations.
3. Remove expired prices, old policies, and conflicting versions.
4. Connect the Data Room to the testing project to check whether the Agent refers to the correct facts.
5. Restrict member access to sensitive data and avoid sharing the relevant workflows publicly.
6. After the project is completed, remove any unnecessary files, indexes, and generated assets.

Advertising creative production process

1. Use research nodes to organize competitor offerings, audience pain points, and channel formats.
2. Let the strategy node generate multiple verifiable creative angles.
3. Generate separate scripts for the title, main text, visuals, and short videos.
4. Create A/B variants based on audience, discounts, or ad slots; do not change all variables at the same time.
5. Brand and legal professionals examine facts, copyrights, trademarks, and platform policies.
6. Export or deliver the materials after they have been reviewed, and then test them with a small budget on the advertising platform.
7. Provide feedback on the actual performance on the new whiteboard, rather than using the AI’s predictions as the result.

Types of models and tools

Which users are it suitable for

• Advertising agencies: Replicate research and asset creation processes for multiple clients.
• E-commerce brands: Create bulk versions of product images, descriptions, and ads.
• Growth team: Integrates competitor research, audience insights, and creative testing into a cohesive process.
• Content marketers: Create articles, emails, social media content, and landing page content.
• Creative strategist: Keep hypotheses, branches, and model results on the whiteboard.
• Small marketing team: Use the free quota to test the cross-model workflow.
• Corporate teams: Manage documents through permissions, isolation of Data Rooms, and security controls.
• Training and consulting firms: Save proven marketing methods as reusable templates.

Typical use cases

• After accessing the brand page, market research, audience profiles, and campaign ideas are generated.
• Analyze competitors’ ads and social media content to identify distinct approaches.
• Generate ad titles, images, and short videos in bulk for the same product.
• Place the brand guidelines in the Data Room to standardize the outputs of various team members.
• Copy the whiteboard for different countries and replace the language, cultural, and legal settings.
• Use multiple models to create the draft and the final version respectively, in order to balance speed and quality.
• Establish a standard process from research to delivery to reduce copy-pasting across applications.
• Retain the process structure that performs well, and continuously refine it using actual deployment data.

Product advantages

• Use visual connections to illustrate the dependencies among research, creation, and output.
• Text, images, videos, research, and scrapings are all gathered on the same whiteboard.
• Multiple models are supported, allowing teams to choose based on their specific tasks rather than being tied to a single supplier.
• A Data Room enables different nodes to share brand and product context.
• Workflows can be copied as templates, making them suitable for expansion across multiple clients and markets.
• Free registration does not require a credit card, and daily tokens are provided.
• The privacy policy specifies that personal data is not used for training AI models.
• Provides a help center, operation guides, and video tutorials.

Usage restrictions and precautions

• The platform has been renamed; the old domain name, old help articles, and the new interface may coexist temporarily.
• Different pages on the official website use over 50 as well as over 70 different tools; the actual list is determined by the account in question.
• The free quota provides 80 tokens per day, which is not suitable for continuous generation of large volumes of images and videos.
• The so-called unlimited tokens may still be subject to limitations related to fair use, model costs, or functional rules.
• Models and nodes are updated by third-party suppliers, so it is not guaranteed that old workflows will remain consistent indefinitely.
• The use of scrapers must comply with the rules of the target website, as well as copyright and privacy laws.
• AI research may miss or misinterpret information; key facts need to be referred back to the original sources.
• Generating ads may violate trademarks, portraits, or copyright laws, and may also breach the platform’s policies.
• Sharing workflows publicly grants the platform a permanent right to display them; sensitive methods should not be made public.
• No public developer API or official SDK has been identified; external automation capabilities need to be verified separately.

Prices and packages

The following are the price details as of August 22, 2026, verified from DFIRST’s official current information. The real-time price page is loaded dynamically by the application; before completing the purchase, it is necessary to check again the currency used, taxes and fees, annual discounts, model permissions, and the rules regarding proper use.

“The term ‘unlimited’ should not be interpreted as meaning no technical or compliance restrictions. Before using high-frequency video, data extraction, and advanced models, it is necessary to check on the purchase page details regarding concurrency limits, proper usage rules, priority levels, and any additional costs.

Subscription, cancellation, and refunds

Privacy and data processing

DFIRST’s privacy policy states that the platform handles account information, billing details, Data Room files, workflows, generated content, as well as device and support-related data. Users’ personal data is used solely for providing services, and not for training AI models.

• The private Data Room is isolated from other accounts and is used for the current workspace.
• Third-party AI providers process data only to the extent required to fulfill the user’s requests.
• Account data may be retained for 5 years further for compliance purposes after the account is closed.
• User-generated content may remain available for up to 3 months after deletion.
• Billing information is typically retained for 5 years due to tax requirements.
• Measures such as standard contract clauses for data usage outside the EEA are in place to provide protection.
• Users have the rights to access, correct, delete, restrict, transfer, and object.
• Even after the signature is removed from a public workflow, the anonymous version can still remain in existence for a long time.

Security and team governance

The official specifications outline OAuth 2.0, multi-factor authentication, role-based permissions, account auditing, data encryption in transit, the zero-trust principle, and the AWS infrastructure. It is necessary to confirm whether these specific controls are included in each package by checking the team account details or the contract.

• Use different Workspaces for different customers or brands to prevent the mixing of data.
• Only grant the Data Room and project permissions necessary for members to complete their tasks.
• Enable multi-factor authentication and regularly remove employees who have left the company.
• Remove customer names, strategies, and private prompts before sharing the template publicly.
• Approval records are kept for capturing, generating, downloading, and releasing to the outside.
• Confirm the list of third-party model providers, data regions, and sub-processors.
• When making purchases, businesses should verify the SLAs, as well as the backup and recovery procedures and event notification mechanisms.
• After the project is completed, export the necessary assets and carry out the retention and deletion plans.

Input, output, and platform

APIs, SDKs, and open-source status

The terms consider the integration of third-party APIs and platforms as part of the internal services, but no public API documentation, key management console, Webhook specifications, or official SDKs intended for customers are available. Users cannot infer the existence of open APIs merely based on the workflow automation capabilities.

Generated content and rights

The terms state that the user retains ownership of the content they upload, and that AI-generated materials that are sufficiently original and creative can be protected by copyright. The platform will transfer any corresponding rights it may have within the limits permitted by law.

• Users must still ensure that the information entered and the results generated do not infringe on the rights of third parties.
• Whether purely AI-generated content is protected by copyright depends on the region and the degree of human involvement in its creation.
• Publicly sharing a workflow grants the platform a permanent, irrevocable, and non-exclusive license.
• Private workflows and Data Rooms are not made available to other users by default.
• Before commercial use, it is necessary to check the supplier’s rules regarding models, as well as the permissions for using portraits and brand assets.
• The price, performance, and effectiveness claims stated in advertisements must be verified by the business entity.

Basic information

Recommendation score

Its rating is 4.3 out of 5 points. DFIRST AI combines research tools, Data Rooms, and multi-model creative functions into a reusable workspace, making it suitable for marketing teams and agencies that wish to minimize the need to switch between different tools.

The main shortcomings are the inconsistency in the data formats during the brand transition, the difficulty in verifying information on the dynamic pricing page, and the fact that the available APIs are not made public. It is necessary to test the model, check token consumption, and assess team permissions using a free account before proceeding with paid usage.

Frequently Asked Questions

What is the relationship between Digital First AI and DFIRST AI?

They are the old and new names for the same product. The authorities have announced that Digital First AI has been renamed to DFIRST AI; users should use the new platform entry point first.

Is DFIRST AI free?

There is a free version available, which offers 80 tokens per day and does not require a credit card. Advanced models, more features, and higher usage levels require a paid subscription.

How much is the starter?

The official information currently indicates that the Starter plan costs $39 per month, with unlimited tokens and access to 3 projects. The actual rights and usage limits are specified on the payment page.

Can videos be created?

Video models can be used to convert text or images into videos, as well as to transform storyboards into videos and to perform zooming operations. The actual model used, the duration, resolution, and resource consumption vary depending on the package chosen.

What is a Data Room?

It is an isolated knowledge space for storing information about brands, products, and audiences, providing a consistent context for multiple Agents within the whiteboard.

Will personal data be used for training?

Official policies stipulate that private user data and the contents of Data Rooms shall not be used to train platforms or third-party AI models. Different licensing rules apply to workflows that are shared publicly.

Can the generated content be used for commercial purposes?

The terms allow users to possess generated content that meets copyright requirements, but they still need to check the input, models, trademarks, portraits, and advertising statements.

What is the deadline for a refund?

The refund policy allows applicants to submit a request within 14 days after purchase, provided that the relevant conditions are met and the request is approved. Once approved, the refund is typically issued to the original payment method within 7 to 10 business days.

Does DFIRST AI provide APIs?

No public API, Webhook, or SDK documentation was found. When enterprise system integration is required, it is necessary to obtain clear technical details from sales prior to making a purchase.

Is DFIRST AI open source?

It is not open source, and no official repository containing the source code of the product has been found. The fact that the platform integrates third-party models does not mean that its own source code is made available.

Summary

DFIRST AI is suitable for organizing market research, brand materials, copywriting, images, and videos into a visual marketing workflow, and it supports multiple campaigns and clients through the use of copyboards.

When using it, it is necessary to pay attention to brand migrations, tokens, and model changes, as well as to conduct manual verification of the content that is researched, retrieved, and generated. For companies, permissions, data retention, and authorization for public workflows are equally important.