Case Studies
AI for FCC Compliant Captions
Interact With Your Information
Fight data exposure with local Agents
Caption Agent
Overview.
The Caption Agent is an AI-powered solution that processes long-form video content, including 4K feature films, to create FCC-compliant captions and dubs in multiple languages.
Features.
Automated FCC-compliant caption generation.
Multilingual captioning.
AI-powered dubbing with voice cloning technology (rights-dependent).
The Implementation.
Reduced captioning time by 75%.
Decreased captioning and dubbing costs by 90%.
Expanded audience reach with multilingual options.
Maintained high-quality, FCC-compliant captions across all content.
Streamlined post-production process for media companies.
Research Agent
The Challenge.
Copy writers and marketing teams grapple with the overwhelming task of creating informed and relevant content, often spending the majority of their week researching through search or generative AI, digesting newsletters, and keeping pace with rapid social content and market trends. This exhaustive process can result in significant delays and can also distract content creators from their core competencies, ultimately impacting the quality and frequency of their output.
The Vision.
Envision a future where 80% of the groundwork for your team's content is handled with precision and speed. Our Research Agent efficiently navigates the web, assimilates crucial information from your chosen newsletters, consumes relevant social content, and keeps a vigilant eye on market trends. They then synthesize this wealth of data into succinct summaries, poised to serve as the backbone for your podcasts, newsletters, blogs, or any other content platforms. The integration of these agents liberates content teams from the drudgery of preliminary research, allowing them to focus their talents on creativity and innovation.
This solution not only spares valuable time but also fosters an environment of strategic thought leadership in which content is not only frequent and well-informed but also resonates deeply with the intended audience, securing a competitive edge in a content-saturated market.
The Implementation.
To implement the content creation solution for a client, DiscoverFire.ai starts with a detailed intake of the client's topics of interest, industry news sources, ad-words in use by both the client and their competitors, blogs, and any other pertinent sources of information. This extensive collection serves as the foundational data set for what the Research Agent will monitor and analyze.We then train the agent on the company's broad goals, mapping out the priorities and the types of content most valuable to their strategy. The agent is configured to focus on these specified areas, ensuring that the insights gathered are tailored and actionable. To empower the Research Agent with the autonomy to perform comprehensive research, it is equipped with the necessary credentials for Google searches, access to the SEMrush API for competitor insights, and subscribed to relevant newsletters and industry bulletins. This methodical setup allows the Research Agent to function as an extension of the client's team, providing them with a steady stream of curated and strategic information that fuels informed, impactful content creation.
Company Persona Agent
The Challenge.
In the absence of a partner like the Company Persona Agent, you'll often struggle with knowledge dissemination, facing challenges in quickly accessing vital operational procedures, internal documentation, or specialized knowledge contained within various formats like SOPs, technical manuals, and multimedia content.
This can lead to inefficiencies, inconsistent information sharing, and a significant drain on productivity as your team spends valuable time searching for answers.
The Vision.
The Company Persona Agent transforms your diverse internal resources into a central, interactive knowledge hub, the Agent acts as an on-call assistant for your entire team. With the simplicity of a voice or text query, your team can instantaneously unlock detailed insights from your organization's extensive information trove. This democratization of knowledge eliminates information silos and empowers every team member with equal access to the collective expertise. As the agent is also trained on your company’s specific information, it aligns with your unique operational context, ensuring relevancy and precision in the information delivered.
The Implementation.
We begin by gathering all of your SOPs, documents, and other written or recorded materials. These materials form the training set for the Agent's model, allowing it to learn and understand the company's specific procedures and informational context. After the training phase, you are provided with a simple and intuitive chat interface (often a Slack channel), which serves as the primary means of interaction between the team and the Agent. The system is designed to be dynamic; the company can upload new documents or remove outdated materials to keep the Agent's knowledge base current and accurate. This straightforward implementation process increases the team's adoption rate and removes the need to learn a new technology.
Slack Assistant
The Challenge.
Companies face significant risks when proprietary data is exposed to external, closed-source AI models, such as ChatGPT. Team members, with good intentions, might inadvertently compromise sensitive information by seeking AI-generated insights via public platforms.
The Vision.
Realizing the potential threats to data security, the company sought a secure and innovative solution that would enhance productivity without compromising proprietary information. The vision was to maintain collaboration and innovation while ensuring data remained secure within the company’s control.
The Implementation.
DiscoverFire.ai developed a specialized Agent tailored to locally deploy AI to retain company IP. Trained exclusively on the company's standard operating procedures and internal reference materials, this Agent was integrated directly into the company's Slack account. By doing so, team members gained access to high-quality, on-brand insights and answers within their primary communication environment, effectively securing sensitive data and boosting operational efficiency with AI support designed specifically for their context.
Project Timeline
Initial Discovery
In 15 minutes, we'll know if we can provide significant value.
Product Selection
We'll help you determine the Agent or Agent team best for your needs and we'll agree on the scope of work.
Build
We'll build the Agents, workflows, and software required for your particular build.
Final Implementation
This is when we'll deliver the final product that is integrated to your systems. Most projects are implemented in under 30 days.
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