# email Published articles for email. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## Stories from our latest intern class DevFeed: [Stories from our latest intern class]() Original publisher: [Read original article]() Author: Khan Academy Published: 2015-12-21T23:00:00Z Content type: article Language: en Sources: [Khan Academy]() Topics: [Programming](), [Mobile](), [JavaScript](), [Ionic](), [AdventureX 2026]() Tags: [backup](), [blog-post](), [email](), [engineering](), [github](), [hackathon](), [intern](), [ionic](), [javascript](), [mobile](), [news](), [programming](), [project](), [stories](), [web-frontend]() ### AI overview This article shares reflections from Khan Academy's 2015 intern class. It describes a hackathon project that used Ionic to build a mobile app for browsing and playing JavaScript projects, and discusses backing up Khan Academy mailing-list data. ### Source excerpt By 2015 Interns We sent an email out to all of the 2015 interns in early November, shortly ... Read more ## Time Management at Khan Academy DevFeed: [Time Management at Khan Academy]() Original publisher: [Read original article]() Author: Khan Academy Published: 2016-07-25T22:00:00Z Content type: opinion Language: en Sources: [Khan Academy]() Topics: [To-Do](), [Job]() Tags: [email](), [engineering](), [learn](), [management](), [meetings](), [news](), [team](), [time-management](), [web-frontend](), [work]() ### AI overview Khan Academy employees share approaches to managing their time, including weekly Trello to-do lists, scheduling uninterrupted work around meetings, and organizing tasks around energy and responsiveness needs. ### Source excerpt By Multiple Everyone at Khan Academy received a plea recently: I'm hoping to organize a blog post that ... Read more ## The weekly snippet-server: open-sourced DevFeed: [The weekly snippet-server: open-sourced]() Original publisher: [Read original article]() Author: Khan Academy Published: 2016-02-01T23:00:00Z Content type: article Language: en Sources: [Khan Academy]() Topics: [Snippet](), [configuration](), [email](), [Markdown]() Tags: [configuration](), [email](), [engineering](), [infrastructure](), [markdown](), [news](), [open](), [snippet]() ### AI overview Craig Silverstein describes Khan Academy's open-sourced weekly snippet server, a simple tool for sharing brief weekly work updates. It uses a textbox with optional Markdown formatting and makes snippets visible according to email-domain and server configuration. ### Source excerpt By Craig Silverstein When I joined Khan Academy, my first project was to write a version of the ... Read more ## Critical Cisco email security flaw is being exploited by attackers DevFeed: [Critical Cisco email security flaw is being exploited by attackers]() Original publisher: [Read original article]() Author: Carly Page Published: 2026-09-15T16:01:00Z Content type: news Language: en Sources: [www.theregister.com - Articles]() Topics: [Cisco](), [Security](), [Cybersecurity]() Tags: [cisco](), [cybersecurity](), [email](), [security]() ### AI overview Attackers are exploiting a critical vulnerability in Cisco email security appliances. Cisco warns that attackers may be able to conceal their activity after gaining access. ### Source excerpt Attackers already exploiting the critical flaw, and Cisco warns they may be able to cover their tracks once they're in ## From Atlas experiment to Airlock: extracting agent governance into a product DevFeed: [From Atlas experiment to Airlock: extracting agent governance into a product]() Original publisher: [Read original article]() Author: WorkOS Published: 2026-09-15T15:35:36Z Content type: article Language: en Sources: [WorkOS Blog]() Topics: [Authorization](), [Security](), [Artificial Intelligence](), [App](), [Linear](), [Slack]() Tags: [agent](), [ai](), [ai-agents](), [authorization](), [email](), [integrations](), [linear](), [permission](), [policy](), [product](), [security](), [slack]() ### AI overview The article explains how WorkOS's Airlock grew from the Atlas experiment into a standalone authorization product for governing AI-agent actions in company tools. A demonstration shows policies blocking emails containing financial information and requiring approval for unfamiliar distribution lists. ### Source excerpt Airlock grew out of Atlas to give IT and security teams a shared way to govern agent actions. Aaron Tainter's Agent Night demo shows how it works. ## What is CIAM in 2026 and why does it matter? DevFeed: [What is CIAM in 2026 and why does it matter?]() Original publisher: [Read original article]() Author: Ravleen Kaur Published: 2026-09-15T00:00:00Z Content type: tutorial Language: en Sources: [Twilio Blog]() Topics: [identity and access management](), [trust](), [ai-governance](), [Security](), [Artificial Intelligence](), [IAM](), [Generative AI]() Tags: [ai-agents](), [ai-governance](), [email](), [fraud](), [fraud-detection](), [identity](), [identity-and-access-management](), [industry-insights](), [messaging](), [mobile](), [trust]() ### AI overview This article explains how customer identity and access management (CIAM) is evolving from point-in-time password checks into a continuous trust and control layer. It describes CIAM's role in authenticating users, governing delegated authority for AI agents, evaluating risk across channels, and balancing low-friction access with fraud detection. It also distinguishes customer identity from workforce IAM. ### Source excerpt Discover how customer identity and access management (CIAM) uses continuous trust, deepfake defense, and agentic AI governance to protect users. ## Italy's email open tracking pixels rules are changing DevFeed: [Italy's email open tracking pixels rules are changing]() Original publisher: [Read original article]() Author: Denis O'Sullivan Published: 2026-09-14T00:00:00Z Content type: article Language: en Sources: [Twilio Blog]() Topics: [data](), [Forms]() Tags: [2026](), [communications](), [compliance](), [data-protection](), [email](), [industry-insights](), [law](), [legal](), [pixel](), [regulatory](), [requirements]() ### AI overview Italy's data protection authority has issued new rules for email open-tracking pixels. Senders must disclose their use, obtain prior explicit consent for many uses, update opt-in forms, and provide opt-out options. The rules include different requirements for subscribers who joined before and after April 29, 2026, with a compliance deadline of October 28, 2026. ### Source excerpt Italy has followed France and introduced rules around email open tracking pixels. Here's what you need to know. ## Building EasyReply: How We Used Laravel to Unify Customer Support DevFeed: [Building EasyReply: How We Used Laravel to Unify Customer Support]() Original publisher: [Read original article]() Author: Emma Blake Published: 2026-09-11T16:06:51Z Content type: article Language: en Sources: [Laravel]() Topics: [Laravel](), [Support](), [Artificial Intelligence](), [React](), [WebSocket](), [PHP](), [Single-page application (SPA)](), [email](), [Front end](), [Instagram]() Tags: [ai](), [api](), [development](), [email](), [frontend](), [instagram](), [laravel](), [queue](), [react](), [sponsor](), [support](), [ui](), [websocket]() ### AI overview This article explains how EasyReply uses Laravel to combine email, Slack, Instagram, and WhatsApp conversations in an AI-powered shared inbox. It describes Laravel Reverb for real-time updates, Inertia and React for the frontend, and queues for background processing. ### Source excerpt EasyReply pulls email, Slack, Instagram, and WhatsApp into one AI shared inbox, built on Laravel with Reverb, Inertia, React, and queues. The post Building EasyReply: How We Used Laravel to Unify Customer Support appeared first on Laravel News. Join the Laravel Newsletter to get Laravel articles like this directly in your inbox. ## User Impersonation Can Trigger Analytics, Emails, Webhooks, and Background Jobs as the Wrong User DevFeed: [User Impersonation Can Trigger Analytics, Emails, Webhooks, and Background Jobs as the Wrong User]() Original publisher: [Read original article]() Author: WorkOS Published: 2026-09-11T00:00:00Z Content type: article Language: en Sources: [WorkOS Blog]() Topics: [Authorization](), [systems]() Tags: [analytics](), [authorization](), [automation](), [email](), [feature](), [feature-flags](), [notifications](), [support](), [webhooks]() ### AI overview The article explains that user impersonation is a session-level concern whose downstream effects can inherit the impersonated identity. It inventories risks including analytics, notifications, lifecycle email, chat activity, webhooks, feature flags, caches, and queued jobs, with examples of misleading user communications and unintended email automation. ### Source excerpt The side effects nobody documents: analytics, lifecycle email, feature flags, webhooks, and the background job that runs as the wrong person an hour later. ## 10+ best practices to improve your email deliverability DevFeed: [10+ best practices to improve your email deliverability]() Original publisher: [Read original article]() Author: Jesse Sumrak Published: 2026-09-09T00:00:00Z Content type: tutorial Language: en Sources: [Twilio Blog]() Topics: [email](), [SendGrid](), [API]() Tags: [best-practices](), [deliverability](), [domain](), [email](), [industry-insights](), [marketing](), [sendgrid](), [spam](), [spoofing](), [subscriber]() ### AI overview This tutorial explains email deliverability and presents more than ten practices for improving inbox placement, including domain authentication, double opt-in, non-spammy subject lines, list cleaning, and avoiding spam traps. It also distinguishes delivery from deliverability and discusses sender reputation and subscriber engagement. ### Source excerpt Email deliverability determines whether your messages reach inboxes or spam folders. Follow these 10+ best practices to improve your deliverability rates. ## Complete guide to sending email to Google: Rules, signals & setup DevFeed: [Complete guide to sending email to Google: Rules, signals & setup]() Original publisher: [Read original article]() Author: Tony Williams Published: 2026-09-01T00:00:00Z Content type: tutorial Language: en Sources: [Twilio Blog]() Topics: [Google](), [Authentication](), [Security]() Tags: [authentication](), [deliverability](), [email](), [google](), [guide](), [how-to](), [industry-insights](), [metrics](), [requirements](), [security]() ### AI overview Twilio's guide explains how Google evaluates incoming email, covering SPF, DKIM, DMARC, spam-rate management, sender reputation, user engagement, and Google Postmaster Tools. It distinguishes consumer Gmail from Google Workspace and describes differences in filtering and administrator controls. ### Source excerpt Learn how Google filters incoming email: SPF, DKIM, DMARC requirements, spam rate thresholds, and how to use Google Postmaster Tools to protect deliverability. ## 🎙 How I AI: How this PM uses Claude to handle 70% to 80% of his workday DevFeed: [🎙 How I AI: How this PM uses Claude to handle 70% to 80% of his workday]() Original publisher: [Read original article]() Author: Lenny Rachitsky Published: 2026-08-31T15:01:58Z Content type: article Language: en Sources: [Lenny's Newsletter]() Topics: [Claude](), [Artificial Intelligence](), [Notion](), [Slack](), [email]() Tags: [ai](), [claude](), [email](), [notion](), [podcast](), [slack]() ### AI overview A podcast episode explains how Melio product manager Daniel Blum built a self-improving AI system around Claude and Cowork. The system manages parts of his Notion workflow, prepares weekly and daily briefs, scans Slack and email for relevant context, asks questions about missing knowledge, and learns from his edits. Blum says it eventually handles 70% to 80% of his workday, while emphasizing that system architecture and continuously maintained context matter more than choosing a particular AI platform. ### Source excerpt Your weekly listens from How I AI, part of the Lenny's Podcast Network ## How I turned Claude into a self-improving PM assistant | Daniel Blum (PM, Melio) DevFeed: [How I turned Claude into a self-improving PM assistant | Daniel Blum (PM, Melio)]() Original publisher: [Read original article]() Author: Claire Vo Published: 2026-08-31T12:04:18Z Content type: article Language: en Sources: [Lenny's Newsletter]() Topics: [Claude](), [Notion](), [Slack](), [email](), [Artificial Intelligence](), [Automation](), [AI Infrastructure](), [User experience (UX)]() Tags: [agent-orchestration](), [automation](), [claude](), [email](), [notion](), [slack](), [ux]() ### AI overview A podcast episode in which Daniel Blum explains how he uses Claude and Cowork to manage Notion, Slack, and email workflows, automate weekly preparation, learn internal terminology, and identify improvements to his system. He also discusses scaling the setup to Melio's PM team and the remaining limitations. ### Source excerpt Listen now | 🎙 PM Daniel Blum walks through the exact Cowork and Claude setup that manages his Notion, tracks his tasks across Slack and email, and self-improves every week without him lifting a finger ## Why regex isn't email validation DevFeed: [Why regex isn't email validation]() Original publisher: [Read original article]() Author: WorkOS Published: 2026-08-24T00:00:00Z Content type: article Language: en Sources: [WorkOS Blog]() Topics: [Parsing](), [Forms](), [HTML5 and CSS3 tricks](), [Library](), [Internet]() Tags: [advice](), [deliverability](), [domain](), [email](), [forms](), [framework](), [html5](), [internet](), [library](), [regex](), [validation]() ### AI overview The article explains that email syntax validation with regexes, HTML5 checks, or framework libraries does not establish deliverability or confirm that a mailbox exists. It recommends a loose syntax check and stopping there, while recognizing that stronger checks address separate, less reliable questions. ### Source excerpt Checking that an address looks right and checking that it can receive mail are different problems. Most signup forms only solve the first one. ## Automating quality support at scale: AI and human in the loop DevFeed: [Automating quality support at scale: AI and human in the loop]() Original publisher: [Read original article]() Author: Hugo Casademont Published: 2026-08-18T00:00:00Z Content type: article Language: en Sources: [Windmill Blog]() Topics: [Artificial Intelligence](), [Claude](), [Discord](), [Slack](), [GitHub Issues](), [email](), [Linear](), [telemetry](), [WebSocket]() Tags: [ai](), [ai-windmill-support-claude](), [automated](), [claude](), [discord](), [email](), [github-issues](), [linear](), [slack](), [support](), [telemetry](), [windmill]() ### AI overview Windmill describes an internal support-automation pipeline that consolidates Discord, Slack, email, and GitHub issues into a Discord queue. It uses Claude and customer context to triage requests, draft replies and fixes, while requiring human approval before responses are sent. ### Source excerpt How does Windmill automate its own support? A Windmill pipeline funnels Discord, Slack and email tickets into one Discord queue, triages them with Claude, drafts replies, and dispatches fixes. ## How Fyxer built an AI executive assistant people trust DevFeed: [How Fyxer built an AI executive assistant people trust]() Original publisher: [Read original article]() Published: 2026-08-13T12:00:00Z Content type: article Language: en Sources: [OpenAI News]() Topics: [Artificial Intelligence](), [OpenAI](), [Fine-tuning](), [text-generation]() Tags: [ai](), [email](), [fine-tuning](), [memory](), [models](), [openai](), [predictions](), [startup](), [workflow]() ### AI overview Fyxer built an AI executive assistant that uses OpenAI models, fine-tuning, memory, and user feedback to organize inboxes and draft emails in each user's voice. Its system divides email tasks among dozens of specialized models that use context to predict whether a reply is needed and generate suitable responses. ### Source excerpt Fyxer uses OpenAI models, fine-tuning, memory, and real user feedback to organize inboxes and draft emails in each user's voice. ## Pulumi Introduces Notification Center for Pulumi Cloud DevFeed: [Pulumi Introduces Notification Center for Pulumi Cloud]() Original publisher: [Read original article]() Author: Tom King Published: 2026-08-11T00:00:00Z Content type: release Language: en Sources: [Pulumi]() Topics: [Cloud]() Tags: [console](), [email](), [esc](), [features](), [github](), [notifications](), [organization](), [product](), [pulumi](), [pulumi-cloud](), [pulumi-neo](), [real-time](), [review](), [slack]() ### AI overview Pulumi introduces Notification Center, an inbox in the Pulumi Cloud console for task completions, approval requests, and billing alerts. Notifications appear in real time, link directly to the required action, and can be delivered in the console or by email with per-type preferences. ### Source excerpt Plenty happens in a Pulumi organization while you're looking somewhere else. Neo finishes a task you kicked off just before taking lunch. A teammate submits an ESC change request that needs your approval before it can land. Until now, catching any of that meant either keeping the right tab open or hoping the right email reached you. Today we're introducing the Notification Center: a single inbox in the Pulumi Cloud console for the things that actually need you. It lives behind the bell in the sidebar, with a dot when something's waiting. Notifications arrive in real time -- no refresh -- and each one carries exactly one action: Review request, View task, Update billing. Click it and you land on the page where you can do the thing, not on a dashboard where you have to go find it. What you'll hear about We've started with the moments where being a few minutes late actually costs you something: a Neo task that's paused waiting on your approval, a Neo task that's finished, an ESC change request waiting on your sign-off, and billing conditions like a locked organization or a trial that's about to end. Relevant people in your organization will be notified when there's a pending approval, or billing alert. Nobody gets paged for someone else's work. Where you'll hear about it Every notification type can be delivered two ways -- in the console and over email -- and you choose per type, per channel. Organization admins set a sensible baseline for everyone; each person can override it for themselves on their account settings page. What's next The Notification Center is available today. We're starting with this set of notifications and expanding from there. If there's an event you'd rather hear about from the bell than from a colleague on Slack, we'd like to know which one. Join our Community Slack to connect with the Pulumi team and other users, or open an issue on our GitHub repository. ## Three Checks for Verifying an Agent's Email Attachment Before Sending DevFeed: [Three Checks for Verifying an Agent's Email Attachment Before Sending]() Original publisher: [Read original article]() Author: Nate Published: 2026-08-07T13:02:23Z Content type: tutorial Language: en Sources: [Nate's Substack]() Topics: [email](), [file]() Tags: [agent](), [email](), [file]() ### AI overview The article describes an agent attaching the wrong file to an email and incorrectly reporting success. It presents three checks for verifying the attachment before sending, along with a preliminary question. ### Source excerpt An agent attached the wrong file to my email and reported success. I almost hit send. Here are the three checks I run now, and the question I answer before all of them. ## How to Use Codex for Work: My Complete System at OpenAI | Jason Liu DevFeed: [How to Use Codex for Work: My Complete System at OpenAI | Jason Liu]() Original publisher: [Read original article]() Author: Peter Yang Published: 2026-07-26T13:05:16Z Content type: tutorial Language: en Sources: [Behind the Craft]() Topics: [codex](), [email](), [Slack](), [OpenAI](), [sessions](), [Learning]() Tags: [codex](), [email](), [how-to](), [openai](), [sessions](), [slack](), [tasks](), [work]() ### AI overview The article describes how Jason Liu uses Codex throughout his workday to manage Slack and email, learn from past sessions, and run long tasks with verifiable goals. ### Source excerpt How Jason uses Codex throughout his workday for managing Slack and email, learning from past sessions, and running long tasks with verifiable goals ## Building a Transformer-Based Category Recommender at Thumbtack DevFeed: [Building a Transformer-Based Category Recommender at Thumbtack]() Original publisher: [Read original article]() Author: Andrew Morss Published: 2026-07-20T20:23:27Z Content type: article Language: en Sources: [Thumbtack Engineering - Medium]() Topics: [recommendation systems](), [Transformer](), [Machine learning](), [email](), [push-notification]() Tags: [catalog](), [data-science](), [email](), [engineering](), [machine-learning](), [model](), [push-notification](), [recommendations](), [recommender-systems](), [torch]() ### AI overview This engineering article describes Thumbtack's category recommender, which selects home-service categories for push and email notifications. It explains how the system addresses popularity bias through negative sampling and how Thumbtack's small category catalog and sparse user activity shape the recommendation problem. ### Source excerpt A look at compensating for popularity bias in recommender systems using negative sampling strategies By: Andrew Morss, Senior Applied Scientist Introduction A recommender system is a machine learning model that, given a user and a catalog of items, predicts which items that user is most likely to want. Recommenders set your YouTube playlist, determine what items Amazon suggests for you, push you songs on Spotify and customize your Steam store. If you're a homeowner, Thumbtack's recommender systems can suggest home projects for you such as house cleaning or lawn mowing. Thumbtack connects users with professionals spread across almost 500 different job categories. Job categories are a kind of occupational bucket that Thumbtack uses as a taxonomy to categorize local service professionals (pros). Pros have the opportunity to choose categories of jobs that they want to receive leads on; examples include things like "Electrical and Wiring Repair", "Local Moving" or "Snow Plowing". Thumbtack's Lifecycle marketing team uses a category recommender to choose which categories to surface to users in our push and email notifications. Choosing the right ones is critical. A well-chosen suggestion is how a customer starts a search for a new project, finds the right service professional, and ultimately gets work done. An example of a push notification and an in-email category recommendation. The Problem Space: Category Recommendation There are several features of category recommendations at Thumbtack that are fairly unique in the item recommender space. The number of categories that we have is relatively small (~500) compared to the number of items that are usually seen in recommender systems, which simplifies the problem considerably. Usually recommenders require a two stage approach where an initial, low compute, filtering stage reduces the number of items to some "candidate" list of items before a more complicated model ranks that smaller set of items. With a relatively small cat ## OpenTK: nu ook met Internetconsultaties & notificaties DevFeed: [OpenTK: nu ook met Internetconsultaties & notificaties]() Original publisher: [Read original article]() Published: 2026-07-20T11:37:00Z Content type: release Language: nl Sources: [Bert Hubert's writings]() Topics: [data](), [context](), [email]() Tags: [email](), [service]() ### AI overview OpenTK has added Internet consultations to opentk.nl, including them in its search engine and notification service. The article explains that Internet consultations are an early public stage in the development of new laws or regulations. ### Source excerpt Sinds 2024 run ik OpenTK, met als doel zo goed mogelijk te laten zien wat er in de Tweede Kamer allemaal gebeurt. En, om daar ook nuttige email-notificaties over te versturen. OpenTK is begonnen omdat ik (vanuit de Internetwereld) ineens geconfronteerd werd met een wet die over DNS (mijn hobby) ging en over een paar dagen in stemming zou komen. Dat was heel erg schrikken en ik dacht, dat kan ons nooit meer gebeuren. ## Invite Systems are an Open Relay DevFeed: [Invite Systems are an Open Relay]() Original publisher: [Read original article]() Author: Josh Sherman Published: 2026-07-19T00:00:00Z Content type: opinion Language: en Sources: [Josh Sherman]() Topics: [systems](), [email](), [Monitoring]() Tags: [email](), [monitoring](), [server](), [service](), [user]() ### AI overview The article explains how invite systems can be abused for spam when users control organization names and platforms fail to limit invitation volume. It recommends sensible invite caps and monitoring for users who reach them. ### Source excerpt Every time I think I've seen it all from spammers, they do something that surprises me. The ingenuity of bad actors is an interesting thing. I always wonder what sort of world we'd live in if their efforts were focused on good. What sucks the most is when they abuse something that's intended to bring people together. Case in point, an invite system. It exists to allow somebody the chance to get the rest of their team using a product or service. Invites wouldn't work if they said "You've been invited to platform" with no additional context. Typically the email states the name of the organization you're being invited to. "You've been invited to your organization name here". Where does that organization name come from? The user of course! And what happens if the user has ill intentions? They set the organization name to something like "Text 1-800-555-1212 for a good time", or something even sketchier than that. Generally speaking, these emails come through transactionally and from a generic email on the platform. If your system doesn't meter the number of invites, you have yourself a certified spam cannon! May as well set up an SMTP server without authentication, better known as an open mail relay. There's a few ways you can approach limits. Have a cap on the total number of pending invites? The spammer may delete pending invites to keep moving. Daily limits on total invites sent? Maybe they'll be okay with stretching their campaign over days? Probably not, most spammers are in the business of going as hard and fast as possible before they get caught. Occasionally somebody will fly below the radar, but I think that's more of a bug than a feature. Sane limits as to not get in the way of legitimate users tends to get you pretty far. Monitoring if/when somebody hits the limits is good too. Spammers usually won't write in to let you know they hit some limit. I say usually because there are some special folks out there that will come knocking. ## Sending bulk email in Python? Prioritize practices that get your mail delivered DevFeed: [Sending bulk email in Python? Prioritize practices that get your mail delivered]() Original publisher: [Read original article]() Author: Greg Svoboda (gsvoboda@activecampaign.com) Published: 2026-07-14T18:13:00Z Content type: tutorial Language: en Sources: [Postmark (en-US)]() Topics: [Python](), [Code](), [CSV]() Tags: [code](), [deliverability](), [email](), [email-delivery](), [orchestration](), [python]() ### AI overview This tutorial explains how to send bulk email with Python while protecting sender reputation and deliverability. It argues that a basic smtplib script, CSV mailing list, and sending loop can cause delivery problems without a solid reputation-management foundation. ### Source excerpt Bulk email has a reputation problem, but users often misplace the blame. Recipients associate bulk email with spam, inbox clutter, and irrelevant marketing campaigns. Senders associate it with poor deliverability, complicated orchestration, and the constant fear of landing in spam folders. If you handle bulk email, these problems may sound familiar. The DIY Python approach -- install smtplib, divvy up your mailing list in a CSV file, set up a loop function, hope for the best -- all but guarantees delivery problems. The mail itself isn't the problem, though. Done properly, bulk email remains one of the most effective ways to communicate with customers at scale. The challenge is that mailbox providers aggressively punish bad sending behavior, even when it's unintentional. Successful bulk email happens when you prioritize your reputation and choose professional-quality tools to maintain it. We'll start with a high-level look at why we focus on reputation and then offer guidance on bulk email sending. Reputation: The start and end goal of successful bulk email Bulk email helps build relationships, educate customers, promote products, and keep brand image fresh. It can be tempting to dive in and start chipping away at those goals, but it's strategy that wins the race every time. Before sending anything to your bulk mailing list, let alone automating your bulk mail with Python code, turn your attention to your sender reputation: Mailbox providers use sender reputation scores to keep bad actors out of inboxes. Bad reputations mean undelivered mail. Your score combines signals from your domain, your content, and how recipients engage with your emails. Recipients read emails from senders they trust, improving your reputation. If they ignore, delete, unsubscribe, or report messages as spam, your reputation declines. The most successful bulk senders understand that reputation, deliverability, and engagement are tightly connected. And they only start sending when reputation manag ## Connecting User Generated Content to Loyalty Engines DevFeed: [Connecting User Generated Content to Loyalty Engines]() Original publisher: [Read original article]() Author: Govinda Vyas Published: 2026-06-25T15:50:07Z Content type: article Language: en Sources: [Bazaarvoice]() Topics: [API](), [systems](), [payload](), [data](), [User Experience]() Tags: [apis](), [conversations-api](), [email](), [integration](), [loyalty](), [payload](), [performance](), [points](), [ugc](), [user-generated-content-ugc]() ### AI overview This article explains how to connect Bazaarvoice user-generated content submissions with loyalty platforms through APIs. It describes a source-connector-destination architecture and a workflow that validates review events before awarding points, including different rewards for text-only and photo reviews. ### Source excerpt In the modern e-commerce stack, User-Generated Content (UGC) and Loyalty Programs are often treated as separate silos. One captures the voice of the customer (Ratings, Reviews, Q&A); the other manages the economy of retention. For brands and retailers, the challenge isn't just "collecting reviews"--it's building a high-performance bridge between user action and value generation. How [...] [Next page]()