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<h2>New features for your users&nbsp;</h2><h3>Personal conversational AI bot&nbsp;</h3>Users watch and cheer on many various events on our clients’ platforms, and of course, they cannot be experts in all of them by default. So, they used to need to go somewhere else to Google and search for all the desired information about athletes, teams, results, and more. Now, they can get all of these right in a chat. Due <a target="_blank" rel="noopener noreferrer" href="https://watchers.io/ai-assistants">to AI Coach, an AI agent </a>that finds and shares sports info with your users in a private convo or in a public chat. Learn more about our new functions or try to ask AI Coach yourself <a target="_blank" rel="noopener noreferrer" href="https://watchers.io/stands">on the demo stand.</a><h3>Giveaway-bot</h3>You can run the giveaway quizzes for your users in a chat. Engage them more and grow retention at the same time: if your users joined the quiz, they will definitely come back to know the results. You can run such quizzes for all users or for those with specific badges.The bot can be activated through the admin panel.<h2>New opportunities in the back office</h2><h3>User profile, and search</h3>You can find any user who visited your chat even once and use this userID or nickname. Besides this, you can check the last activity of these users, their avatars, nicknames, messages, as well as bans if they were banned and reports if they were reported. Using these user pages, you can also manage them, for example, reset avatars or nicknames if they break some rules.<h3>Spanish back office</h3>The back office interface switches the language according to your browser settings. Still, you can also choose the needed language manually.<figure class="image"><img style="aspect-ratio:1500/1001;" src="https://storage.yandexcloud.net/watchers/0f123d9e-e296-40c5-9e9d-e2938b648aea.jpeg" width="1500" height="1001"></figure><h3>Educational videos</h3>We’ve added video guides that will help you to learn the admin panel, its settings and functions, and how to operate with the best results you can achieve.<h3>Data on marketing offer usage</h3>You can download the useIDs of users who viewed and engaged with your marketing offers, in-feed and pop-ups. You can reuse this info for more precise management of your promo and marketing activities.<h3>Pre-moderation managing</h3>Now, even default blocking lists can be set up or turned off. Manage pre-moderation as you wish, and add new filter lists more conveniently.<h2>Additional control</h2><h3>Limits for sharing</h3>If you use any of our social widgets, you can restrict how many times users can send the same win, deal, or bet in a chat. The setting is optional; the number can be limited on the widget settings page on the admin panel.<h3>Read-only mode opportunities</h3>You can decide on your own how <a target="_blank" rel="noopener noreferrer nofollow" href="https://docs.watchers.io/docs/read-only-mode-in-no-auth-zone#/">read-only mode </a>will look on your chat. You can add a button, link, or just explain what users should do to join the conversation. Also, you can set specific information widgets just for read-only users.<figure class="image"><img style="aspect-ratio:1500/998;" src="https://storage.yandexcloud.net/watchers/c8a01c43-543d-4bfa-be35-efe7d8199a83.jpeg" width="1500" height="998"></figure><h2>Small improvements</h2><ul><li>Badges with triggers: you can award your users not only for future actions but also retrospectively.</li><li>Communication mode became even more convenient: decide from a regular user or admin you want to communicate in a chat.</li><li>Video changes its layout when the user changes the device orientation while watching. So, video watching in a chat becomes more natural and habitual.</li><li>We’ve started to inform you about the dashboard updates. See the exact time and date when the metrics were updated last.</li><li>Badge tooltips can be multilingual, as is your whole chat. Just add all necessary variations while setting up the badge, and the tooltips will be shown accordingly with the interface language of the user.</li><li>Users can send HEIX images in a chat.</li><li>While creating the badge, you can use the HEX code to choose the specific colour.&nbsp;</li></ul>&nbsp;And of course, besides this, we always work with the security of our chats to guarantee all our clients and their users the most comfortable and trusted environments for exchanging ideas and emotions.<h2>Get in touch</h2><p class="MsoNormal" style="-webkit-tap-highlight-color:transparent;-webkit-text-stroke-width:0px;background-color:rgb(255, 255, 255);border-width:0px;box-sizing:border-box;color:rgb(0, 0, 0);font-family:Inter;font-size:0.9375vw;font-style:normal;font-variant-caps:normal;font-variant-ligatures:normal;font-weight:400;letter-spacing:normal;line-height:1.35417vw;margin:0px 0px 1.30208vw;orphans:2;outline:0px;padding:0px;text-align:start;text-decoration-color:initial;text-decoration-style:initial;text-decoration-thickness:initial;text-indent:0px;text-transform:none;vertical-align:baseline;white-space:normal;widows:2;word-spacing:0px;"><span style="-webkit-tap-highlight-color:transparent;border:1pt none windowtext;box-sizing:border-box;font-style:inherit;font-weight:inherit;line-height:16.1px;margin:0px;outline:0px;padding:0cm;vertical-align:baseline;" lang="EN-GB" dir="ltr">Please <a style="-webkit-tap-highlight-color:transparent;border-width:0px;box-sizing:border-box;color:rgb(87, 89, 255);font-family:Inter;font-size:0.9375vw;font-style:inherit;font-weight:400;line-height:1.35417vw;margin:0px;outline:0px;overflow-wrap:break-word;padding:0px;text-decoration:none;transition:color 0.4s;vertical-align:baseline;" target="_blank" rel="noopener noreferrer nofollow" href="https://calendly.com/watchers-platform/social-tools-for-your?month=2025-08"><span style="-webkit-tap-highlight-color:transparent;border:1pt none windowtext;box-sizing:border-box;font-style:inherit;font-weight:inherit;line-height:16.1px;margin:0px;outline:0px;padding:0cm;vertical-align:baseline;" lang="EN-GB" dir="ltr">get in touch with us</a><span style="-webkit-tap-highlight-color:transparent;border:1pt none windowtext;box-sizing:border-box;font-style:inherit;font-weight:inherit;line-height:16.1px;margin:0px;outline:0px;padding:0cm;vertical-align:baseline;" lang="EN-GB" dir="ltr"> if you'd like to integrate community chats with your website or app. We'll be happy to help you find the best solution.&nbsp;

Discover how you can boost performance marketing by using the power of community, with almost any audience (including the silent ones) in your own app. 

Learn what community-led growth is, why it matters now, and how in-app communities help brands boost retention, engagement and organic growth across digital products.

Community-Led Growth: Definition, Strategies & Examples

Metrics represent the count of unique users who engage with a digital product or service within a specific timeframe. These metrics are the primary way to quantify the reach, engagement, and recurring usage of an application.<h2>The Temporal Hierarchy</h2>The power of these metrics lies in their ability to capture usage behaviour across different periods. Every metric is calculated as the count of distinct user IDs that have triggered a predefined event within the following time frames:<figure class="table" style="width:100%;"><table class="ck-table-resized"><colgroup><col style="width:15.01%;"><col style="width:24.23%;"><col style="width:60.76%;"></colgroup><tbody><tr><td>Metric</td><td>Time Window</td><td>Typical Use Case</td></tr><tr><td>HAU</td><td>1 Hour</td><td>High-frequency apps (e.g., messaging, trading, live gaming).</td></tr><tr><td>DAU</td><td>24 Hours</td><td>Standard consumer apps, social media, productivity tools.</td></tr><tr><td>WAU</td><td>7 Days</td><td>Professional software, weekly utility apps.</td></tr><tr><td>MAU</td><td>30 Days</td><td>E-commerce, subscription services, low-frequency tools.</td></tr></tbody></table></figure><h2>Critical Technical Considerations</h2>1. Defining the event to countA common pitfall in interpreting these metrics is uncertainty. Activeness is not a universal constant. Organisations define an active user based on their specific goals:<ul><li>Minimalist definition: A user who simply opens the application or faces a landing page.</li><li>Substantive definition: A user who performs a valuable action, like creating a post, completing a transaction, or watching a video.</li><li>Result: Comparing the active users of two different platforms is only valid if both entities define active users in the same way.</li></ul>2. Unique user duplicates clean upThe unique aspect is a critical technical constraint. These metrics must be cleaned up of duplicates. If a user logs in five times a day, they still have to be counted as one DAU. Systems typically handle this by tracking unique identifiers, like UserID, device ID, or hashed email, within the database logs for the specified query range.3. Meaningful Insights: The Ratio AnalysisAnalysts use these metrics to derive behavioural trends:<ul><li>Stickiness (also known as<a target="_blank" rel="noopener noreferrer" href="https://watchers.io/growth"> engagement rate)</a>: It is calculated as MAUDAU​. This represents the percentage of monthly users who return to the product on any given day. A higher ratio indicates that the product has successfully woven itself into the user's daily habits.</li><li>Retention velocity: By comparing WAU to MAU, it is possible to estimate how frequently users fall out of the active user base, helping to identify potential churn issues.</li></ul>Why Context MattersThese metrics are &nbsp;dependent on the natural frequency of the product. An application designed for filing taxes has a high MAU but a naturally low DAU. Conversely, a news aggregator would be considered failing if its DAU was not significantly higher than its MAU. <o:p></o:p>

Clara Shih, CEO of Salesforce AI, says, “In my career, I’ve never seen a technology get adopted this fast.”That said, it’s getting harder and harder to tell which is human- and which is AI-generated content. And companies that develop Gen AI tools are aware of challenges and do their best to mitigate the risks.&nbsp;Take <a target="_blank" rel="noopener noreferrer nofollow" href="https://www.synthesia.io/">Synthesia</a>, one of the leading AI video-generation platforms. Their <a target="_blank" rel="noopener noreferrer nofollow" href="https://www.youtube.com/watch?v=UVNUCBUrHL0">technology creates</a> digital versions of real humans and uses them to generate full videos from plain text in a matter of seconds.The company enforces stringent safeguards around avatar creation and the use of these videos. They proactively <a target="_blank" rel="noopener noreferrer nofollow" href="https://www.synthesia.io/post/nist-red-team-test-content-deepfakes">stress test</a> their systems under rigorous, independent read-team evaluations. And they’re highly invested in preventing deepfakes and damaging content from slipping through.With this context, let’s take a closer look at the main challenges of content filtering in the gen AI era.<h3>Harmful AI-Generated Content</h3>AI is trained on human-made content. By definition, its whole purpose is to be as realistic as possible. Plus, when someone uses AI content to harm, they’ll intentionally design it to bypass filters.&nbsp;All these factors, combined with the volume and speed at which AI content is created, make it increasingly more complex to detect such instances. Hence, the growing number of resources designed to teach us how to tell what’s real and what's not.<figure class="media"><div data-oembed-url="https://www.youtube.com/shorts/LmLNusmA9wA"><div style="position: relative; padding-bottom: 100%; height: 0; padding-bottom: 56.2493%;"><iframe src="https://www.youtube.com/embed/LmLNusmA9wA" style="position: absolute; width: 100%; height: 100%; top: 0; left: 0;" frameborder="0" allow="autoplay; encrypted-media" allowfullscreen=""></iframe></div></div></figure><h3>Over- and Under-Enforcement</h3>Over-enforcement occurs when a system has too strict thresholds or misinterprets sarcasm and harmless mentions as harmful. Wrongfully-sanctioned members become frustrated with their experience and may choose to step back (low engagement) or even step away from the community (high churn).Under-enforcement occurs when a system frequently fails to detect high-quality harmful AI-generated content, coded words, and subtle threats, and under-blocks violations.Members are exposed to this content, the platform suffers reputational damage and, in more serious cases, even legal risks.None of these is desirable, and systems have to carefully balance their scores and thresholds to avoid model errors.<h3>Missing Context</h3>Imagine being banned from a gaming community for writing in the chat, “I’m gonna destroy you tonight.” That’s friendly banter that <a target="_blank" rel="noopener noreferrer nofollow" href="https://www.researchgate.net/publication/383661768_The_Ethics_of_AI_in_Content_Moderation_Balancing_Privacy_Free_Speech_and_Algorithmic_Control#:~:text=Some%20of%20the%20challenges%20associated%20with%20AI,difficult%20to%20challenge%20or%20appeal%20moderation%20decisions.">AI may not interpret</a> as such, depending on the context it has. Often, factors like irony, sarcasm, cultural references, or in-jokes can make it harder to evaluate content in its broader context. &nbsp;Without deeper contextual queues, AI moderation systems can easily misinterpret intent and either miss violations or flag non-existent ones.<h3>Language Gaps</h3>The less familiar a language is, the less training data that the model will have, and the <a target="_blank" rel="noopener noreferrer nofollow" href="https://cdt.org/insights/content-moderation-in-the-global-south-a-comparative-study-of-four-low-resource-languages/">less reliable</a> its output will be. &nbsp;When content includes terms from languages like Maori, Welsh, Icelandic, or Basque, AI can wrongly flag as dangerous even the most harmless idioms or common expressions of those languages. All because the model doesn’t understand the nuance, since it hasn’t been trained on data that included it.<h2>Benefits of AI Content Moderation</h2>Paradoxically, AI is both part of the problem and part of the solution to moderation challenges. The benefits of automating processes with artificial intelligence are vast and powerful.<figure class="image"><img style="aspect-ratio:1500/999;" src="https://cdn.eu.watchers.io/0e29c084-217a-4b96-8a79-fe006d9acc40.jpeg" alt="how does ai moderation benefit platforms and users" width="1500" height="999"></figure>For starters, AI gives speed and scalability to any moderation system. Since the system operates on clear rules, it’s more likely to return more accurate results (as opposed to human moderators, who might interpret the same rule differently depending on who’s reviewing).Also, with AI doing the heavy lifting and handling most moderation, humans are under less pressure. They have more bandwidth and mental clarity to interpret the fewer but more challenging situations that the AI sends in for revision.Once a system is implemented, costs become more predictive, and the process finds its groove. With faster, more reliable moderation, users have an improved experience, which will directly impact community engagement.&nbsp;DAU and retention naturally increase because members feel safe sharing and consuming content within the community.UGC is an ecosystem that expands at lightning speed. In this ecosystem, AI moderation serves as the foundation that enables communities to scale in the safest possible ways.<h2>Best Practices for AI Moderation</h2>Success depends on whether you use a hybrid moderation system, how thoroughly you log decisions, and how often you audit and refine your system.The following best practices will help you get there.<h3>Measuring and Tuning AI Moderation Quality</h3>Set-it-and-forget-it doesn’t apply to moderating with AI tools. You can’t let a system flag content without looking at how often it’s right (precision) and how much toxic content it correctly flags (recall). Or whether it scores false positives/negatives (over- or under-enforces).Error analysis and threshold tuning are critical steps for improving the process.<h3>Policy Design, Appeals, Compliance, and Governance</h3>The moderation policy, along with the violation categories, is the bedrock. You must clearly define:<ul><li>What counts as a violation</li><li>What severity levels will the system use to categorise violations</li><li>What are the threshold rules (when to allow, escalate, or block)</li><li>How should the system proceed finding a threshold</li></ul>Any content decision has to be handled within a transparent appeal process. Moderating content involves operating with user data, which carries many legal responsibilities. The platform owner has to deal not just with building trust and transparency, but follow the regulations:<ul><li>GDPR privacy laws (data privacy and user consent)</li><li>Online platform regulations, such as the EU Digital Services Act (platform accountability and risk mitigation)</li><li>Safety requirements under the UK Online Safety Act (proactive detection and removal of illegal content)</li></ul><h2><a target="_blank" rel="noopener noreferrer" href="https://watchers.io/post/ai-content-moderation-translation-and-insights-at-watchers">The Future of AI Moderation</a></h2>With Gen AI pervading online, moderation must focus on developing increasingly more complex and performative models that are:<ul><li>Multimodal: can evaluate various types of content simultaneously.</li><li>Context-aware: can understand the whole picture, not simply isolated elements, by examining an intent history, considering cultural nuances, and situational clues.</li><li>Agent-based: uses AI agents that can detect violations and act in real time.</li><li>Cross-contextual: notice the safety signals and share them across digital platforms, preventing repeated violations.</li></ul><h2>Build Safer In-App Communities with Watchers</h2>If you plan to build communities in-app, you need to protect your users. We offer community chats which are not only engaging but safe and trustful. We build <a target="_blank" rel="noopener noreferrer" href="https://watchers.io/moderation">4-layer AI moderation</a> system and constantly develop and improve it. Learn more and get to know how to build safe space for users, <a target="_blank" rel="noopener noreferrer nofollow" href="https://calendly.com/watchers-platform/social-tools-for-your?month=2025-11">book a call with our team.&nbsp;</a><h2>FAQs About AI Moderation</h2><h3>What is AI moderation?</h3>It’s an automated process of reviewing and managing UGC by leveraging ML, NLP, and computer vision. AI moderation detects in real time content that’s harmful or violates policies and can block it directly or dispatch it for human moderation.<h3>How accurate is AI moderation?</h3>Moderating with AI is highly accurate, although results vary by use case and false positives/negatives still occur (especially with nuanced content). Modern systems keep humans in the loop for ambiguous contexts or high-stakes decisions.<h3>What are the problems with AI moderation?</h3><ul><li>Challenges in comprehending nuances that leads to false positive or false negative decisions)</li><li>Limited adaptability to slang, memes, and other conversations linguistics elements</li><li>Weaker performance with rarer languages and dialects</li><li>Difficulties in detecting evasion tactics, such as intentional misspellings</li><li>Limited ability to indentify with deepfakes</li><li>Reasons can be unclear</li></ul><h3>Is AI moderation better than human moderation?</h3>Rather than “better”, AI screening is faster and more scalable. While AI can cover a significantly higher volume of content in real time, it can’t do it all, and it still relies on human review for the less clear contexts. In practice, the best results come from combining AI with human moderation.<h2>References</h2><ul><li>Social media content moderation and removal - statistics &amp; facts | <a target="_blank" rel="noopener noreferrer nofollow" href="https://www.statista.com/topics/11495/social-media-content-moderation-and-removal/?srsltid=AfmBOoqolhMZCIuSImvb9FvMcKHXgNjhREZnnKDAdh_vPzx6v5oZPLu7#topicOverview">Statista</a></li><li>Data Never Sleeps 12.0 | <a target="_blank" rel="noopener noreferrer nofollow" href="https://www.domo.com/learn/infographic/data-never-sleeps-12">Domo</a></li><li>Inside Facebook’s African Sweatshop | <a target="_blank" rel="noopener noreferrer nofollow" href="https://time.com/6147458/facebook-africa-content-moderation-employee-treatment/">TIME</a></li><li>Five machine learning types to know | <a target="_blank" rel="noopener noreferrer nofollow" href="https://www.ibm.com/think/topics/machine-learning-types">IBM</a></li><li>What is natural language processing (NLP)? | <a target="_blank" rel="noopener noreferrer nofollow" href="https://www.techtarget.com/searchenterpriseai/definition/natural-language-processing-NLP">Tech Target</a></li><li>What is computer vision? | <a target="_blank" rel="noopener noreferrer nofollow" href="https://azure.microsoft.com/en-us/resources/cloud-computing-dictionary/what-is-computer-vision">Azure Microsoft</a></li><li>Perspective API | <a target="_blank" rel="noopener noreferrer nofollow" href="http://perspectiveapi.com/">Perspectiveapi.com</a></li><li>Open AI Platform - <a target="_blank" rel="noopener noreferrer nofollow" href="https://platform.openai.com/docs/guides/moderation">Moderation | OpenAI</a></li><li>Use of Natural Language Processing in Social Media Text Analysis | <a target="_blank" rel="noopener noreferrer nofollow" href="https://www.researchgate.net/publication/389027775_Use_of_Natural_Language_Processing_in_Social_Media_Text_Analysis">Research Gate</a></li><li>Natural Language Processing for Messenger Platform | <a target="_blank" rel="noopener noreferrer nofollow" href="https://developers.facebook.com/docs/messenger-platform/built-in-nlp/">Facebook</a></li><li>Build Natural Language Experiences | <a target="_blank" rel="noopener noreferrer nofollow" href="http://wit.ai/">Wit.ai</a></li><li>Vision AI | <a target="_blank" rel="noopener noreferrer nofollow" href="https://cloud.google.com/vision">Google Cloud</a></li><li>Amazon Rekognition | <a target="_blank" rel="noopener noreferrer nofollow" href="https://aws.amazon.com/rekognition/">Amazon</a></li><li>Our Approach To Responsible AI Innovation | <a target="_blank" rel="noopener noreferrer nofollow" href="https://blog.youtube/inside-youtube/our-approach-to-responsible-ai-innovation/">Inside YouTube</a></li><li>Synthesia’s Content Moderation Systems Withstand Rigorous NIST, Humane Intelligence Red Team Test | <a target="_blank" rel="noopener noreferrer nofollow" href="https://www.synthesia.io/post/nist-red-team-test-content-deepfakes">Synthesia Blog</a></li><li>Fact check: How to spot AI-generated newscast | <a target="_blank" rel="noopener noreferrer nofollow" href="https://www.youtube.com/shorts/LmLNusmA9wA">DCNews</a></li></ul>&nbsp;<figure class="media"><div data-oembed-url="https://www.youtube.com/shorts/LmLNusmA9wA"><div style="position: relative; padding-bottom: 100%; height: 0; padding-bottom: 56.2493%;"><iframe src="https://www.youtube.com/embed/LmLNusmA9wA" style="position: absolute; width: 100%; height: 100%; top: 0; left: 0;" frameborder="0" allow="autoplay; encrypted-media" allowfullscreen=""></iframe></div></div></figure>

post title

Building communities around the brand or platform is a reliable way to increase retention and revenue. 

Discover the best in-app chat solutions in 2025. Compare top community chat platforms, SDKs & APIs to build real-time, branded communication inside your mobile or web app.

10 Best In-App Chat Solutions for Businesses: Top Community Chat Tools 

AI is transforming various industries, but businesses need to thoroughly understand the specific reasons for using AI and how it can help achieve specific goals. Yana Barden, the CEO of Watchers, shares the company’s perspective on integrating AI.

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I’ve started to write this article many times, wanting to show comprehensively how exactly our company uses AI capabilities, so it might be helpful for others to look through our scenarios and maybe take something as an example to follow.The thing is, every time I began writing, we were right in the middle of introducing something new in the field of AI. So it always felt like I should wait a little longer, so the article wouldn’t become outdated the moment it was published. But today is no different—we’re developing brand-new functionality that simply wasn’t possible until these recent AI-centred times. And I assume tomorrow won’t be different either—we’ll again be developing something extra.So, I decided to change my approach. Rather than trying to share something fully accomplished, I’ll treat it as a journey. Let’s say these thoughts are just today’s snapshot of how we’re leveraging AI in our company at this moment, and there will be another one later. And another one, hopefully.Let’s begin with who we are, because it’s important to clarify both what we are and what we aren’t, before we dive into exploring our AI maturity.<h2 style="font-size:20px;">Who We Are</h2>A short overview of what we at Watchers.io do in a nutshell: we provide an easily embeddable social layer for digital platforms, so any platform can instantly become social by integrating us. Their users get the opportunity to interact with each other, share, learn, discuss the platform’s content and products, help one another, and much more.The main reason a platform owner would want to gather a community inside their product rather than starting a group or channel on external social media is simple: when users build a community inside your platform, they stay on your platform. Their behaviour evolves from basic chatting to deep, platform-connected scenarios. This bonding leads not only to better retention and longer sessions, but also to genuine loyalty and a higher volume of transactions.So, as you can see, our product was not initially AI-first. Our value could be (and has been) delivered even before the current AI revolution, since we’ve always had human-to-human interactions at the heart of our solution.Nevertheless, today we are AI-powered in our product, and—dare I say—AI-first in the way our business operates.<h2 style="font-size:20px;">AI-Powered Product</h2>Below, you can see the list of our main AI-powered products and features: what they do, which technologies we use, and what value they provide for our clients.<h3 style="font-size:18px;">AI-Optimised Moderation</h3>No community engagement is possible in a toxic environment. And when I say “toxic,” I’m not speaking only about inappropriate language, harassment, or emotional aggression, but also about scamming and spamming attempts.We started building <a target="_blank" rel="noopener noreferrer" href="https://watchers.io/moderation">our moderation system</a> right from the beginning of product development, but we strengthen it with AI every single day. Our goal is to keep community spaces safe in real time, healthy, and trusted for both end users and platform owners.<figure class="image"><img style="aspect-ratio:1500/918;" src="https://cdn.eu.watchers.io/6e0e5766-7e41-40e2-9c06-75d8022c477f.jpeg" alt="AI-powered moderation works precisely to prevent any violence or spam" width="1500" height="918"></figure>Value: a safe, trusted space free from scams, spam, and hatred.Client impact: critical (if content moderation is poor, the community solution will most likely be removed from the platform).AI technologies used: proprietary natural language processing models (based on DistilBERT, BERT, RoBERTa), OpenAI API, Gemini API, and Kimi for certain languages.Development effort: high. Achieving 95%+ precision across major languages requires continuous work from AI engineers and data scientists. Reaching a trusted level for even ~10 languages demands roughly a year, and models need to be fine-tuned for each industry domain.<h3 style="font-size:18px;">AI Translation</h3>This is a capability that simply wasn’t possible before AI, at least not at the level of quality required. The value of allowing users who speak different languages to exist in the same social space is hard to overestimate. Thanks to AI translation, it no longer matters what language a person speaks; they can still stay connected with like-minded individuals.Translation can be applied to both outgoing and incoming messages; we chose the second approach.<figure class="image"><img style="aspect-ratio:1500/918;" src="https://cdn.eu.watchers.io/08921596-aef5-4f5c-ace6-be6c06211cb9.jpeg" alt="AI-powered translation help to connect people over the globe" width="1500" height="918"></figure>Value: enabling interaction between all users, regardless of language.Client impact: significant for platforms with a global reach.AI Technologies used: Google Translate, Gemini, plus our proprietary service for caching, orchestration, analytics, and billing.Development effort: low, if you simply call Google Translate, but this quickly leads to unpredictable and massive costs without proper orchestration. Medium if you build a structured, optimised service around it.<h3 style="font-size:18px;">AI Agents</h3>Everyone is talking about agents now; they exist for literally everything. So I’ll tell you about one agent that’s less common.A few months ago, we introduced the <a target="_blank" rel="noopener noreferrer" href="https://watchers.io/ai-assistants">AI Sports Coach</a>, an intelligent agent designed to provide end users of our sports-platform clients with expert-level sports insights. It’s like having your own media source/Google/ChatGPT right inside the host platform, so the user never needs to leave to search for information. They can interact with the AI Coach in both private and public chats.To ensure trusted results, we built an agent that not only retrieves information but also validates it, while our own services maintain context around the user’s query using both short and long memory.<figure class="image"><img style="aspect-ratio:1500/918;" src="https://cdn.eu.watchers.io/45bfd043-941b-4db7-9923-ee78c95d8217.jpeg" alt="AI assistants keep users on the platform providing all the needed information" width="1500" height="918"></figure>Value: users get sports-related knowledge without leaving the platform.Client impact: significant for sports platforms.AI technologies used: Gemini and OpenAI models plus proprietary services.Development effort: medium.<h3 style="font-size:18px;">Achievement Management</h3>This could be implemented without AI, but with AI, everything becomes much livelier.We connect to the client’s achievement/gamification/loyalty system (if they have one) via API, and we also maintain our own internal achievements based on triggers in community activity. Right now, we’re transforming <a target="_blank" rel="noopener noreferrer" href="https://watchers.io/achievements">our achievement system</a> into an AI-powered one: the model analyses the user profile, another model analyses context, another generates a non-generic congratulatory message, and yet another creates the accompanying image. Every achievement becomes unique.<figure class="image"><img style="aspect-ratio:1500/918;" src="https://cdn.eu.watchers.io/d30c1f07-f884-4653-9a87-6162809b27f6.jpeg" alt="Gamification elements are much brighter when can updated fastly with the help of AI" width="1500" height="918"></figure>Value: lively, non-boring, non-repetitive achievements.Client impact: great for engagement and user stickiness.AI technologies used: Gemini for understanding the context, OpenAI for image generation.Development effort: medium<h3 style="font-size:18px;">AI Semantic Analysis</h3>This is something we started long ago <a target="_blank" rel="noopener noreferrer" href="https://watchers.io/analytics">as a feature</a>, but now we’re rebuilding it into a product.Our clients have access to a gigantic amount of valuable information willingly shared by end users in integrated public chats. On average, around half of all interactions and communications inside these chats are directly connected to the host platform’s content, products, or overall strategies, making this an exceptionally valuable layer of insight for platform owners. This first-party data helps determine who drives engagement, who is at risk of leaving, which topics create positive or negative sentiment, and countless other insights, like the product and content feedback for the platform owner, which our social layer is integrated with.This data is far more valuable than scanning external social networks:<ul><li>Users rarely discuss your platform on random Facebook pages.</li><li>You can identify only a small portion of your users on external platforms—even in your own Discord or Telegram channels.</li><li>But inside your integrated social layer, you own the data. You just need a powerful tool to understand it.</li></ul>We vectorise all text information and apply cascades of machine learning algorithms for classification, context recognition, semantic analysis, sentiment analysis, summarisation, etc. Creating a “user fingerprint” and “event fingerprint” is a tremendous amount of work.Next year, we’ll offer clients a newly built version of this product to help their businesses grow.<figure class="image"><img style="aspect-ratio:1500/918;" src="https://cdn.eu.watchers.io/a3f64a3f-bc5f-44b8-b18d-73fd950501b5.jpeg" alt="AI Semantic and semiotic analysis help to get valuable insights" width="1500" height="918"></figure>Value: actionable insights from user conversations.Client Impact: significant for medium and large platforms with many users and high chat activity.AI technologies used: to be disclosed after market launch.Development effort: high.<h2 style="font-size:20px;">Core Principle</h2>To finalise the part about our AI-powered products (we think they are AI-powered, not AI-first), I’ll mention our most important principle—the one I stated at the beginning:We keep human connections at the heart of our solution.We sincerely believe that AI tools should empower these connections, not replace them with human-to-AI communication. Do platform owners ask us about this type of replacement, being fed with the market hype?Yes, they do. But we stand by what creates strategic value for both end users and platform owners—and this persistence absolutely pays off.<h2 style="font-size:20px;">AI-First Business</h2>This part will be short.All our internal routine processes are already AI-first, freeing up precious time for speaking with clients (which we don’t delegate to AI—except for the optional first layer of support), and for inventing new ideas and building strategic concepts.What we have AI-centred:<ul><li>Routine coding (mostly with Claude and Gemini)</li><li>Testing and automated testing</li><li>Prototyping (Claude Code and Google AI Studio)</li><li>Design (Figma Make, OpenAI, Nano Banana)</li><li>Analytics (an internal assistant built on OpenAI, transforming tasks into SQL/Python queries)</li></ul>Of course, every piece of AI-assisted work is thoroughly double-checked by humans.What will we have in a month or two? Honestly, I don’t know, and that’s great. We live in an amazing world where we move fast with the flow of the river. We can control our movement, navigation, and focus. Still, the speed of the flow is enormous, and we definitely don’t know what we’ll see around the next bend.Let’s stay curious yet critical-thinking, hardworking yet open-minded, persistent yet resilient—and we will see what’s next.<h2 style="font-size:20px;">Drive your business with AI-powered solutions</h2>If you want to grow your metrics and scale with the power of communities and the help of AI tools, <a target="_blank" rel="noopener noreferrer nofollow" href="https://calendly.com/watchers-platform/social-tools-for-your?month=2025-09">book a demo call </a>with the Watchers product team. We will help you to integrate all the needed tools with the highly developed AI systems.