Author: Om Kamath

Turn company data into engaging narratives with just a few clicks using Cody

After getting multiple requests for more platform compatibility, we’re excited to unveil our newest update: Zapier integration for Cody. This opens up a world of possibilities, allowing you to effortlessly connect Cody with a vast ecosystem of over 5,000+ apps—all with just a few clicks. Expand Cody’s functionalities far beyond its original integrations with Discord and Slack, and harness the power of automation across a multitude of platforms. This article will help you boost your LinkedIn posts with AI using Cody and Zapier.

Table of contents

1. What is Zapier?
2. Why choose Cody over the OpenAI API?
3. How to start automating workflows for Cody with Zapier?
   1. Step 1: Create a Bot
   2. Step 2: Enable the Zapier Integration
   3. Step 3: Setting up Zapier
   4. Step 4: Building the Zap
4. Final Result
5. What should be your next step?

What is Zapier?

For those new to the automation landscape, Zapier acts as a no-code bridge between a myriad of apps, eliminating the need for intricate technical know-how or wrestling with multiple API keys. Essentially, it’s a user-friendly way to integrate and automate functionalities across various platforms, making it easier than ever to expand Cody’s capabilities.

Some of the popular apps available in the Zapier ecosystem:

• Google Sheets
• Google Docs
• Slack
• Telegram
• Instagram
• Facebook Messenger

Why choose Cody over the OpenAI API?

Cody AI offers a tailored approach to business automation and assistance, differentiating itself from the general-use GPT API. Unlike the GPT API, Cody allows you to train the assistant specifically on your business, your team, your processes, and even your client data using your own knowledge base. This saves you the technical complexities of maintaining a separate knowledge base and implementing a semantic search engine—challenges that can be daunting if you’re not tech-savvy.

Additionally, Cody provides a more comprehensive solution, offering access to different GPT models based on your subscription plan. It also supports a wide range of document types, such as Word / PDF documents, crawl web-pages and offers customizable, embeddable widgets designed to seamlessly integrate into your existing business operations. With Cody, you get a multi-feature, all-inclusive platform geared to meet your specific needs.

How to start automating workflows for Cody with Zapier?

To show how well Cody and Zapier work together, we’ll guide you through a simple automation. In this article, we will understand how you can boost your LinkedIn posts with AI using Cody and Zapier. With this setup, you can type a message in Slack about what you want to post on LinkedIn. In just a few seconds, that message will turn into a real LinkedIn post, automatically. It’s a quick and easy way to expand your social media presence, all made possible by Cody and Zapier.

Step 1: Create a Bot

You’ll find various blogs on our website to guide you through bot creation. But to give you a quick overview, a bot essentially consists of two main components:

1. Bot Personality: This sets the tone, mood, and style of how your bot interacts. It covers everything from emotional context to the length and relevance of the responses.
2. Knowledge Base: This is where all your important documents go. They provide the context that helps the bot generate accurate and helpful responses.

Together, these two components determine the effectiveness and user-friendliness of your bot. For this specific demonstration, we’ll use a Knowledge Base compiled from crawled data of a real-estate website. If you’d like to follow along and create a similar automation, you can crawl your own business website to populate your bot’s Knowledge Base.

Prompt:

System Prompt:

Step 2: Enable the Zapier Integration

To enable the Zapier Integration, go to Account > Integrations and install Zapier.

After clicking Install, you’ll be redirected to Zapier, where you’ll need to accept the invitation.

Just like that, you’ve successfully enabled the Cody integration on your Zapier account.

Step 3: Setting up Zapier

Once you have enabled the integration, you will need to allow Zapier to access your Cody account using the access token. To create an access token you need to go to Account > API Keys > Create API Key. Copy the API Key and paste it in your Zapier account.

You are now all set to create your custom Zap.

Step 4: Building the Zap

To create a new Zap, click on + Create > New Zap.

You’ll encounter two key events in the setup:

1. Trigger: This is the initial event that kicks off the automation, or the “Zap.” It could be anything from receiving a new message to a scheduled time.
2. Action: This follows the Trigger and executes specific tasks like sending a message or adding data to a table.

Before diving into building the Zap, let’s get a clear picture of the workflow. As outlined in the diagram below, the process starts when a user mentions the bot’s name along with a post description in a public Slack channel. For example, “@Zapier Create a post that highlights why Villa Homes is better than others.”

This initial message is then formatted to remove the bot name, leaving only the core content. This formatted text is sent to Cody, which then generates a LinkedIn caption or post. Finally, this generated content is automatically posted to LinkedIn.

In essence, you’re setting up a streamlined process that takes a Slack message and transforms it into a LinkedIn post, all with the help of Cody and Zapier.

To start pulling messages from your Slack workspace, you’ll first need to connect your Slack account to Zapier, if you haven’t done so already. For the “Trigger” event, select ‘New Mention.’ This will set off the Zap whenever the specified bot is mentioned in a public Slack channel. In this case, the Zap will activate when the Zapier bot is mentioned in a message that includes the word ‘Post.’ This ensures that the automation specifically targets your intended LinkedIn posts.

After you’ve successfully tested the trigger, it’s time to move on to formatting the Slack message. To remove the bot name and isolate the core content of the message, we’ll use the ‘Replace’ function found in Zapier’s formatter tool. This ensures that only the essential text is passed on to Cody for generating the LinkedIn post.

Now it’s time to set up the Cody action to generate your LinkedIn post. Choose the bot you just created and use the formatted text from Slack as the query. This will instruct Cody to take the cleaned-up message and turn it into a post tailored for LinkedIn.

The final step is to actually post the update on LinkedIn. Use the response generated by Cody and input it as the comment in the LinkedIn action. This will ensure that the crafted message from Cody gets posted directly to your LinkedIn account, completing the automation process.

Final Result

Slack Conversation

LinkedIn Post

What should be your next step?

In this article, we’ve outlined a simple yet powerful example that demonstrates how Cody can seamlessly integrate AI into your automation workflows via Zapier. With Zapier’s extensive library of popular apps, the sky’s the limit for creative automation possibilities. We’re also excited to announce that we’ll soon be adding a ‘Document Upload’ action to Zapier, broadening the range of documents you can use in your Knowledge Base.

If you’ve successfully set up a Zap and want to share your experience, join our Discord Server to inspire others. For any troubleshooting, you can reach us through the ‘Get Help‘ feature.

We’ll continue to roll out articles to assist you in making the most out of Cody for your business automation needs. So stay tuned for more!

AI isn’t a new term for any of us, but with the launch of ChatGPT in November 2022, there’s been a growing fear that AI will replace human jobs. There’s a high possibility that AI will replace many lower-level jobs in the future, such as simple data entry and support roles. However, it’s also expected that AI will create many new jobs. What hasn’t been explored as extensively is AI’s application in training both existing and new employees. If you’ve seen the corporate training scenario today, it hasn’t evolved much over the years – it often involves clichéd multiple choice questions based on training videos. Unfortunately, these training sessions still lack the capacity to simulate real-life scenarios and accurately assess if an employee is prepared for real-world challenges.

You definitely don’t want this to happen due to lack of efficient employee training:

If you are seeking AI solutions to train your employees, Cody is the ideal tool for you. Similar to ChatGPT, Cody can be trained using your business data, team profiles, processes, and client information, leveraging your unique knowledge base.

With Cody, businesses can harness the power of AI to craft a personalized and intelligent training assistant tailored specifically to employee requirements. This positions Cody as a standout addition in the realm of AI-driven business solutions. To get started with Cody, simply upload your existing business-related documentation (it works even better if you already have training-related literature) and either select a template from our template-library or create your own bot from scratch. Here are several domains in which Cody can enhance your employee training, making it not only more effective but also engaging, as opposed to being monotonous and burdensome.

Simulating Real Life Scenarios

Jobs such as Customer Support present unique challenges when it comes to training. Given the human-centric nature of interactions, it’s difficult to predict every potential scenario or customer concern that might arise. Traditional training methods have often relied on macros and templates to provide standard responses. While these can cover a wide range of common queries, the unpredictable nature of customer interactions means that there will always be situations that fall outside the scope of pre-defined responses.

This is where AI can become a game-changer. Trainees can be exposed to a mix of routine and highly unusual scenarios, giving them a more comprehensive training experience. These simulations can not only test an employee’s problem-solving skills but also their interpersonal and communication skills. Feedback can be instantaneous, and training can be adjusted in real-time based on the trainee’s performance.

Adaptive Multiple Choice Questions

Traditional Multiple Choice Questions (MCQs) have limitations in training scenarios. If an individual fails to answer correctly the first time, they might encounter the same question later on. After a few attempts and possibly using guesswork, the employee might select the correct answer. This approach is inefficient for training in any domain.

With AI, both the question and its corresponding answers can be restructured. This ensures that even if the underlying concept remains the same, the presentation of the question and its options will be different. The AI can be provided with some questions and personalized in a manner that will never repeat the same question making the training process a lot more versatile.

Instant Explanations

The most effective learning often occurs through asking questions. However, during training, asking about specific jargon or processes might not always be possible and can become tedious for employees, thus hampering the overall training process. By integrating AI into the training, you ensure that learners grasp the core concepts and understand the fundamentals clearly, rather than merely creating an illusion of knowledge by answering multiple questions. Instant explanations and justifications give the impression that a human trainer is always available to assist the employees.

Seamless Integration With Existing Platforms

Another observation of traditional employee training systems is the added friction of transitioning to another medium to complete the training. It’s not seamless, leading employees to postpone their training sessions. With tools like Cody, you can seamlessly integrate the training process into your Slack Workspace (with many more integrations coming soon), allowing employees to complete their training without the need for any context switching.

Taking the AI Leap with Cody

Incorporate AI into your business seamlessly with Cody. No coding, no tech hurdles. Drag, drop, design, and deploy. As Cody evolves, expect even more features aimed at refining the training process. Test Cody for free—no strings attached. And when you’re convinced of its efficacy, upgrade at your pace.

Is it really better than ChatGPT?

After announcing a temporary ban on ChatGPT following its launch, StackOverflow has now decided to jump on the GenAI bandwagon with their latest offering, OverflowAI. OverflowAI is not a single product but a collection of multiple GenAI products under one umbrella term. Let’s see if OverflowAI is really a ChatGPT replacement for programmers.

What’s so special about OverflowAI?

Search

To improve and save time in searching for solutions to questions, OverflowAI will aggregate knowledge from various sources to stitch a step-wise solution catered to solving your specific problem. All the resources used to generate the response will be cited with references so that you can validate the answers yourself, and credits will be given to the contributors of the solution.

Follow-up questions can be asked in a chat-like format. This will maintain the context of the original question and add more information onto it, allowing you to spend less time on structuring the question and ask a series of questions that are linked to one another.

Draft

“AI isn’t replacing humans anytime soon, but it can help you draft a question to post to our community” – Prashanth Chandrasekar, CEO @ StackOverflow

There have been instances where most questions are not solved or ignored, purely due to the lack of structure or redundancy of information within the question. OverflowAI can help you draft better questions that can be posted on the StackOverflow community, which can then be answered by domain experts.

The same feature is used when OverflowAI is unable to answer a particular question. Instead of hallucinating answers, it will simply prompt the user to redirect the question to the community and also provide the user with a well-drafted question.

Summarize

If you are a developer, you definitely know the pain behind reading and skimming through multiple responses and documentation to find a solution to one simple problem. OverflowAI, with its GenAI solution, summarizes multiple responses and discards redundant or less useful responses to provide you with a clean and well-structured summary of the solution to your problem.

These attributed and trusted answers can be refined based on coding ability, length, and other knowledge bases such as GitHub. With StackOverflow for Teams, you can also refer to solutions provided by colleagues from your enterprise by training OverflowAI on your repos.

Plugins

“One of the challenges we hear from developers is minimizing disruption and context switching while coding” – Prashanth Chandrasekar, CEO @ StackOverflow

The plugin for Visual Studio Code is designed to act like a pair-programmer, helping you improve your programming efficiency by providing you with validated and attributed content from public and private StackOverflow teams. This extension imports verified content from your private Stack Overflow for Teams instance and the public platform to give your developers a personalized summary of how to solve their issues quickly and effectively, allowing them to delve deeper where necessary and then document new insights and solutions.

Slack Integration

Since most companies rely on Slack as their primary medium of communication now, the Slack Integration for StackOverflow will make information accessible to everyone easily, and solutions can be found collaboratively on channels. All teams can interact with the resources and knowledge base without any human assistance.

How is it different from ChatGPT?

With the myriad of LLMs currently out there, not all of them can stand out based on their LLM capabilities. ChatGPT is a tool that is created to showcase the power of GPT models in everyday usage. Tools like OverflowAI are specialized to be used for specific use-cases, in this case, software development and maintainability. Yes, you can use ChatGPT to get most of your work done, but specialized tools help in reducing your workload by making the entire process a lot more seamless and robust.

If you are looking for a tool like OverflowAI but for your business and be trained on your business documentation, let us introduce you to Cody. Much like OverflowAI, Cody can be trained on your business data, team processes, and clients, using your unique knowledge base.

With Cody, businesses can harness the power of AI to create a personalized and intelligent assistant that caters specifically to their needs, making it a promising addition to the world of AI-driven business solutions.

To try OverflowAI, you will need to register on StackOverflow Labs as it is still in the experimental phase.

Is the newest LLM in town worth the hype?

A couple of days ago, Meta released its latest version of LLM called Llama 2 in collaboration with Microsoft. If you have been following the LLM hype, you might have already heard about it or even read about its new features. To simplify things, we will list down four reasons why Llama 2 is generating so much hype and how it compares with some of the best LLMs.

Free for Research and Commercial Use

One significant reason that has caught people’s interest in Llama 2 is that Meta made the entire model free for almost everyone, except for some big enterprises that may have certain conditions. This move opens up exciting opportunities for individuals thinking of starting their own businesses or venturing into the world of Generative AI. Now is the perfect time to dive into the waters of AI, especially with a language model of this caliber being freely accessible. While there were already multiple open-source models available, none of them came from a company of Meta’s stature and could serve as direct competitors to GPT.

“There have been public releases of pretrained LLMs (such as BLOOM (Scao et al., 2022), LLaMa-1 (Touvron et al., 2023), and Falcon (Penedo et al., 2023)) that match the performance of closed pretrained competitors like GPT-3 (Brown et al., 2020) and Chinchilla (Hoffmann et al., 2022), but none of these models are suitable substitutes for closed “product” LLMs, such as ChatGPT, BARD, and Claude.” — Meta Research Paper

Safety

Based on the reports published in the Meta research paper, Llama 2 has demonstrated superior performance compared to other open-source models in the helpfulness and safety benchmark. It has even outperformed ChatGPT (7b, 13b, 70b models) in these aspects. However, it is important to note that the research paper acknowledges the possibility of biased data favoring Llama 2, which should be taken into consideration while interpreting the results. Nevertheless, even if Llama 2 comes close to the ChatGPT benchmark, it deserves commendation.

One of the most significant factors contributing to the safety of Llama 2 is its data privacy. Unlike some models, Llama 2 does not require sending your data to an external server, such as OpenAI, to fetch responses. This unique attribute makes the model particularly valuable for critical and sensitive use-cases, as it helps safeguard users’ data and maintain their privacy. Users can run the model on private servers with their data being contained within their infrastructure.

Open Source

The most popular LLMs currently in use operate as black boxes, with users having limited insight into their functioning. In contrast, open-source models provide a transparent approach, allowing users to understand their inner workings. This transparency instills confidence and assurance when using such models, despite the challenges they may face, such as generating spam or disinformation.

Additionally, the open-source nature of these models encourages collaborative efforts, leading to continuous improvement and development in the field of LLMs. As a result, open-source models play a crucial role in driving advancements in the world of language models.

“And we believe it’s safer. Opening access to today’s AI models means a generation of developers and researchers can stress test them, identifying and solving problems fast, as a community. By seeing how these tools are used by others, our own teams can learn from them, improve those tools, and fix vulnerabilities.” — Meta Website

Although Llama 2 is openly licensed, Meta has still not disclosed the data it has been trained on, which still sticks out in terms of data privacy of Meta users. Meta says it “made an effort to remove data from certain sites known to contain a high volume of personal information about private individuals” in the Llama 2 research paper, but it did not list what those sites are.

Performance

Llama 2 is available in four different weights: 7B, 13B, 34B, and 70B. The weight represents the number of parameters the model is trained on. Generally, larger parameter sizes result in more accurate and reliable responses, but they also require greater computational resources. To improve the human-like characteristics of the model, Llama 2 undergoes fine-tuning using instruction-tuning and the RLHF (Reinforcement Learning with Human Feedback) method which is also used by GPT.

While the 70B parameter size is substantial, it still falls short compared to GPT-3.5, which has 175B parameter-size. As a result, Llama 2’s performance may not match that of GPT-3.5, but benchmark tests indicate a close competition even with its smaller parameter size. Despite this difference, Llama 2 outperforms all existing open-source models currently available.

“RLHF is a model training procedure that is applied to a fine-tuned language model to further align model behavior with human preferences and instruction following. We collect data that represents empirically sampled human preferences, whereby human annotators select which of two model outputs they prefer. This human feedback is subsequently used to train a reward model, which learns patterns in the preferences of the human annotators and can then automate preference decisions.” — Meta Research Paper

Conclusion

There is indeed a multitude of open-source models emerging, and with the release of Llama 2, the possibilities seem limitless. While it may take some time for these open-source models to directly compete with something as advanced as GPT-4, the excitement lies in getting a model that comes close to the capabilities of GPT-3.5. This progress in itself is truly remarkable.

Looking ahead, as LLM training becomes more efficient, the potential for having a personalized ChatGPT, fine-tuned with your data on your local device, becomes a tantalizing prospect. One platform that offers such capabilities is Cody, an intelligent AI assistant tailored to support businesses in various aspects. Much like ChatGPT, Cody can be trained on your business data, team, processes, and clients, using your unique knowledge base.

With Cody, businesses can harness the power of AI to create a personalized and intelligent assistant that caters specifically to their needs, making it a promising addition to the world of AI-driven business solutions.

Click here to read the Meta Research Paper on Llama 2. Try Llama 2 here.

Artificial intelligence (AI) tools have become increasingly popular in improving productivity by automating tasks, reducing human error, and saving time and resources. These tools leverage AI algorithms to assist with various aspects of work, from generating content to automating processes. In this article, we will explore the top 10 AI tools that can significantly enhance your productivity.

Flowrite

Flowrite is a tool for automating email communications powered by AI technology. Users are able to provide some brief written instructions about the contents and objective of the message, and Flowrite will automatically create a professional email in a matter of seconds

Features of Flowrite:

1. AI Email Assistant: Flowrite is an AI email assistant that focuses on helping you reduce writing time and create better emails.
2. Chrome Extension: Flowrite is a Chrome extension that attaches an AI writer next to your inbox for convenient use.
3. Ready-to-Send Emails: Flowrite turns short instructions into ready-to-send emails, making it easier to compose professional emails quickly.
4. Templates and Inspiration: Flowrite provides email templates and inspiration to help users write formal emails with confidence.
5. Affordable Pricing: Flowrite offers a 30-day free plan and affordable pricing options for continued use.

Beautiful.ai

Beautiful.ai is a web-based presentation tool that uses artificial intelligence to design professional and engaging slideshows in minutes.

Features of Beautiful.ai:

1. AI-Powered Design: Beautiful.ai uses AI algorithms to automatically adjust the layout, colors, fonts, and animations of your slides to make them look beautiful. This feature can save time and effort for students who need to create visually appealing presentations quickly.
2. Smart Slide Templates: Beautiful.ai offers a range of customizable slide templates that can be adapted to different presentation needs. These templates are designed to be flexible and versatile, allowing users to add or remove elements as needed.
3. DesignerBot: DesignerBot is an AI-powered tool that can assist users in designing slides, brainstorming ideas, and generating text. It can help students overcome writer’s block, generate creative ideas, and improve the overall quality of their presentations.
4. Collaboration and Sharing: Beautiful.ai allows users to collaborate on presentations with peers or colleagues in real-time. It also offers sharing options that allow users to share their presentations via email, social media, or embed codes.
5. Education Plan: Beautiful.ai offers a free annual Pro subscription for students who verify their .edu account. This plan provides access to all the features of Beautiful.ai, including AI-powered design, Smart Slide templates, and DesignerBot.

HeyGen

Heygen is an AI Video Generator based on the Surreal Engine. It is an innovative video platform that harnesses the power of generative AI to streamline your video creation process. With HeyGen, you can create an AI spokesperson video in minutes for corporate training, online learning, explainer videos, e-commerce campaign and much more!

Features of HeyGen:

1. Languages: 40+ languages in 300+ voices
2. Avatars: 120+ diverse human avatars
3. Templates: 300+ pre-made customizable video templates
4. Assets: Free-royalty music, graphic, and video assets
5. Face Swap: Upload your photo and swap your face onto the AI avatar
6. Talking photo: Upload your photo, type the text, and bring it to life
7. Amazon URL to video: Create a video from Amazon’s url with just one click
8. Captions and translations: Auto captions and auto translations

Notion AI

Notion AI is an AI-powered writing assistant that can help users write, brainstorm, edit, summarize, and more. It is designed to augment users’ thinking and help them save time or spend it more wisely. Notion AI is available to all users and can be prompted using the space bar, highlighting text and selecting “Ask AI”, or via slash commands.

Features of Notion AI:

1. Summarization and Analysis: Notion AI can summarize important and actionable information from messy notes, making it easier for users to grasp the main points and key insights of the material. This feature can be particularly helpful for students who need to review large amounts of information in a short amount of time.
2. Editing and Translation: Notion AI can act as a hawk-eyed editor, catching mistakes in spelling, grammar, or even translation, to help ensure writing is accurate and actionable. This feature can be useful for students who need to improve their writing skills or for professionals who need to communicate effectively with a global audience.
3. Personalization: Notion AI can be customized to meet individual needs and preferences. It can be used to generate personalized improvement plans, respond to questions from students, and offer specific comments. This feature can help students receive personalized feedback and improve their learning outcomes.
4. Integration and Collaboration: Notion AI can be integrated with other tools and platforms, making it easier to streamline workflows and collaborate with peers or colleagues. This can be beneficial for students working on group projects or professionals collaborating on reports or presentations.
5. Writing Assistance: Notion AI offers AI-powered features for text generation, including paraphrasing, summarizing, and prompts. These tools can assist users in improving their writing skills and generating high-quality content.

Fireflies AI

Fireflies.ai is an AI-powered meeting assistant that can help users transcribe, summarize, search, and analyze voice conversations.

Features of Fireflies.ai:

1. Meeting Transcription: Fireflies.ai can automatically record and transcribe meetings across several video-conferencing apps, dialers, and audio files. Users can easily invite Fireflies.ai Notetaker to meetings on their calendar, and Fireflies.ai captures video + audio, and generates transcripts in minutes. Integrates with apps like Google Meet, Zoom, Teams Webex, Ringcentral, Aircall and other platforms.
2. Collaboration and Sharing: Fireflies.ai allows users to collaborate with their co-workers and share important parts of calls into shareable soundbite snippets that they can share straight from their dashboard. Fireflies.ai takes an integration-first approach to all the collaboration platforms out there.
3. Self-Updating Knowledge Base: Fireflies.ai creates a self-updating knowledge base from all voice conversations, and users can easily organize meeting recaps by department and make information quickly discoverable. Users can set custom privacy controls to ensure only the meeting information that they want is visible to appropriate team members.
4. Advanced AI Technology: Fireflies.ai uses advanced AI technology to analyze and understand spoken language patterns and accents and then convert them into text. This feature can be particularly helpful for users who need to transcribe meetings accurately and efficiently.

Perplexity AI

Perplexity AI is an AI-powered conversational search engine that can help users find information on a wide range of topics quickly. It is designed to provide suggestions and sources in response to user queries, and its founders claim that it is more accurate than other similar tools.

Features of Perplexity AI:

1. AI-Powered Search: Perplexity AI uses AI algorithms to provide accurate and relevant search results to users. It can search the web for information on a wide range of topics and provide sources and citations to support the answers it provides.
2. Customizable: Perplexity AI can be customized to meet individual needs and preferences. It can be used to generate personalized improvement plans, respond to questions, and offer specific comments. This feature can help users receive personalized feedback and improve their learning outcomes.
3. Easy to Use: Perplexity AI has an intuitive user interface that can be accessed through its website or mobile app. Users can simply type their question into the search bar and press Enter to get answers.
4. Reliable: Perplexity AI’s answers are always supported by sources and citations, which users can easily click to verify the answers it provides. This feature ensures that users can trust the information they receive from Perplexity AI.

Cody AI

Cody AI is an intelligent AI assistant designed to support businesses in various aspects. It is an intelligent AI assistant designed to support businesses in various aspects. It is like ChatGPT but with the added benefit of being able to train it on your business, your team, your processes, and your clients using your own knowledge base.

Features of Cody AI:

1. Instant Answers To Your Business Questions: Cody analyzes your company’s accumulated documents and acts as an expert on your company processes. It provides quick and accurate answers to your business-related queries, saving you time and effort.
2. Upload Any Data & Build Your Knowledge Base: With Cody, you can securely upload various types of documents such as PowerPoints, PDFs, or crawl an entire website. Cody uses this information to customize its responses and provide intelligent answers based on your database.
3. Building Bots: Cody AI allows you to create powerful and customized AI bots for different use cases. You can follow step-by-step instructions and expert advice to build bots tailored to your specific business needs.
4. API Integration: Cody AI provides an API that allows you to integrate Cody into your applications and services. You can access a list of bots, manage conversations, and send messages using the intuitive API endpoints.

Headshot AI Studio

Headshot AI Studio is an AI-powered platform that generates professional headshots for personal and professional use. The platform uses artificial intelligence to create digital portraits that resemble real photographs. The AI algorithm creates a model that tries to recreate an individual’s face in digital art with photorealistic features. Headshot AI Studio offers a range of styles in their AI-generated headshots, and their goal is to provide a solution that delivers outstanding headshots in a convenient and cost-effective manner, tailored to meet your needs and preferences.

Features of Headshot AI:

1. AI-Generated Professional Headshots: This platform utilizes artificial intelligence to produce realistic digital portraits suitable for both personal and professional use.
2. Diverse Style Options: The AI-powered system offers a wide range of styles for the generated headshots, allowing users to find the perfect match for their preferences.
3. Tailored Convenience and Affordability: The solution provides outstanding headshots that are customized to individual needs and preferences, all while being delivered conveniently and cost-effectively.
4. Studio Photography Expertise: With a strong background in studio photography, the platform understands the specific preferences and expectations of customers when it comes to high-quality headshots.
5. Advanced Editing and Customization: Users have access to advanced editing tools and customization options, enabling them to fine-tune the headshots according to their unique requirements.
6. Specific Attributes Generation: The AI-powered platform can create headshots with specific attributes as needed, ensuring that users get precisely the appearance they desire.

Surfer SEO

Surfer AI is an AI-powered content writing tool that makes creating SEO-friendly content easier and faster. It uses artificial intelligence to perform competitive research, structure your article, and produce it within minutes – all without compromising accuracy or readability.

Features of Sufer SEO:

1. On-page optimization: Surfer SEO analyzes your website and provides you with a list of recommendations to optimize your pages for search engines.
2. Content editor: Surfer SEO’s content editor helps you write optimized content that ranks well in search engine results.
3. Keyword research: Surfer SEO’s keyword research tool helps you find the best keywords to target for your website.
4. SERP analyzer: Surfer SEO’s SERP analyzer tool helps you analyze the top-ranking pages for your target keyword and provides you with insights on how to outrank them.
5. Audit tool: Surfer SEO’s audit tool helps you identify technical issues on your website that may be affecting your search engine rankings.

Phind

Phind is a search engine designed to cater to developers and technical questions. It differs from typical AI assistants as it offers direct and comprehensive answers to user queries. Powered by large AI language models, Phind pulls information from the internet, ensuring its responses are up-to-date and relevant. The search engine intelligently generates answers, including relevant code snippets, by aggregating information from multiple sources. This approach guarantees accuracy and depth in its explanations.

Features of Phind:

1. Customize your Search Results using Filters: You can artificially change how results are ranked by adding domain names and keywords. If you have a rule with the domain “github.com“, phind will apply it to all github.com results.
2. Bang Search Shortcuts: You can easily search on different sites by adding bang shortcuts to your query.
3. Mobile App: Phind offers progressive web app support. You can add phind to your home screen and use it as a native app.
4. Powered by large AI language models: Unlike some other AI assistants, Phind pulls information from the internet and is always up to date. It’s smart enough to generate answers based on information from multiple sources.