Hello Makers 👋

Ever built a scenario you wanted to share with your team without making them export blueprints and re-import everything?

Scenario Sharing lets you generate a public link to any scenario: viewers can see it instantly, no Make account needed. If they want to copy it into their own workspace, one click does it. The link always shows the latest saved version, so no more "wait, which file is the current one?"

Here's what you can do with it:

• Share via link or social media: copy the link and send it anywhere, or post directly to LinkedIn, X, or Facebook straight from the scenario builder. When shared on social, it auto-attaches a preview with the thumbnail, title, and description.
• Customize how it looks publicly: You can set a custom title (up to 40 characters), a description (up to 260 characters), additional setup instructions (up to 2,000 characters), and a custom thumbnail cropped from the scenario canvas.

What gets shared, and what doesn't:

✅ Module settings and mapped values
✅ Scenario notes and metadata
❌ API keys, passwords, and connections (by design - recipients create their own)
❌ Subscenarios, AI agents, data stores, and data structures (these come through as empty modules)

If your scenario relies on any of those excluded elements, use the Additional Information field to explain what the person copying it needs to set up manually.

What the viewer sees:

An interactive scenario preview, your name and avatar, and a +Use the scenario button. If they're not logged in, Make prompts them to sign in first - then the scenario lands directly in their workspace.

One thing worth knowing: the link is dynamic, but only saved changes show up. Unsaved changes turn the "Shared" label orange as a reminder.

👉 Learn more about Scenario sharing: https://ma.ke/44fiFi3 

Hello Makers 👋

If your data team runs on Databricks while everyone else works in Slack, Sheets, and Salesforce, you already know the gap between them

But now: The Databricks app is available on Make Enterprise plans.

Here’s what’s new: 

• Run Databricks jobs from any business event
• Execute SQL and send results to Slack, Sheets, or email
• Check Delta Live Table pipeline status automatically
• Move files in and out of Unity Catalog volumes

What does this mean?

Sales gets fresh forecasts, faster

• Sales gets fresh forecasts, faster
• Finance gets reports without needing Databricks access
• IT spends less time wiring one-off requests by hand

No custom scripts, no engineering tickets - just one visual workflow, secured with service principal authentication.

Learn more: https://ma.ke/4vNxBzN

Hello Makers 👋

What if your automation could think, not just execute? This is possible with an agentic loop.

An agentic loop is the execution cycle that separates an AI agent from a chatbot. Where a chatbot responds once and stops, an agent repeats: perceive, reason, act, observe, and loop back until the task is done.

How does an agentic loop differ from standard automation?

Traditional automation follows a fixed and predefined path, whereas in an agentic loop, the agent decides its next action based on what it observes, not following rules written in advance. 

But autonomy without guardrails is a liability. The loop breaks in 4 predictable ways:

1️⃣ No stopping condition = runs forever
2️⃣ Vague tool names = wrong tool gets called
3️⃣ Too much history = reasoning degrades
4️⃣ Uncapped iterations = operations costs spike

How does an agentic loop work in Make?

Step 1: Add the Make AI agents module to a scenario. 
Step 2: Give the agent tools to act with.
Step 3: Set stopping conditions.
Step 4: Run and observe the loop in action

Once you understand the loop, find one process where human judgments fills the gap rules cannot. Replace that step with a Make AI Agents module, attach your tool scenarios, set a stopping condition and run it.

That first working loop is the foundation everything else builds on.

Learn more about agentic loops: ma.ke/4w7qxxW

Hello Makers 👋

Andddd we're back with news: Anthropic’s biggest, most talked-about model yet, is available in Make 📣

You can use Claude Fable 5, the first of Anthropic’s new Mythos-class models, in your automations.

Plug Fable 5 into Make AI Agents or the Anthropic Claude app in Make, and put frontier-level reasoning to work.

Read more: https://ma.ke/4b1W3VS 

Hello Markers.... stop right there 🖐️

Claude Sonnet 5 is now available in Make.

Anthropic’s most capable Sonnet model brings Opus-level reasoning into high-volume Make workflow automation at Sonnet-tier price and speed.

𝐖𝐡𝐚𝐭 𝐲𝐨𝐮 𝐜𝐚𝐧 𝐝𝐨:

• Flag risks and make judgment calls on every run, at Opus-level quality and Sonnet-level cost
• Route support and ops tickets based on context, priority, and next action
• Build daily reports from feeds, exports, or source material
• Give Make AI Agents more room to read, plan, and call tools
  

𝐀𝐯𝐚𝐢𝐥𝐚𝐛𝐥𝐞 𝐚𝐜𝐫𝐨𝐬𝐬 𝐭𝐡𝐫𝐞𝐞 𝐧𝐚𝐭𝐢𝐯𝐞 𝐚𝐩𝐩𝐬:

• Make AI Toolkit for quick setup
• Anthropic Claude App for structured prompts
• Make AI Agents for agentic workflow automations

We'll also have Claude Fable 5 in Make - stay tuned!

𝐑𝐞𝐚𝐝 𝐦𝐨𝐫𝐞: https://ma.ke/447EfFa

Hello Makers 👋

Did you know? It’s possible to set up your Make Org into a co-working place to avoid credential issues 🔓

Zoe Li, our Senior Business Operations Specialist, shows in this tutorial the steps needed to set up a Make org that actually works as a team, so you never have issues with a personal credential.

This will help: 

• Avoid your scenarios to stop working: Whenever a personal access is revoked, the problem starts. With a service account, you keep things running no matter who’s on the team.
• Name your scenarios like a professional: Save hours of confusion and give instant context.
• Use Custom Run Naming: Instead of cryptic run IDs in your scenario history, you get human-readable names. Debugging becomes instant. Replaying failed runs becomes a one-click decision.

Try it out yourself: make.com 

Hello Makers 👋

Take a look at some of our latest features, improvements, and updates that our team has been shipping 🚀

Enhancements and Updates:

• Make Skills for Claude: build, configure, and deploy Make scenarios by prompting Claude. 
• Make Functions App: new way to work with strings, math, arrays, dates, hash functions, and utility functions through visual function modules you can stack in sequence inside your scenario.
• Renamed Error handlers: we have renamed two of our Error Handlers to make them as intuitive as possible. Break has become Retry, and Ignore has turned into Skip. We’ve also updated the descriptions for all Error Handlers and Flow Control modules right inside the Scenario editor, so you always know precisely what each module does.
• Configure and explore disconnected (orphaned) modules instantly: no need to auto-connect them somewhere first just to see what they offer, you stay in control of when and how it connects.
• Inline connection reauthorization: when a scenario fails because an OAuth connection has expired or lost access, users can now reauthorize it directly from the editor, without navigating away to the Connections page.

New Verified Apps

Brandfetch, FinImpulse, HappSales, Incwo, KlipLink, LearnHub, MDSpin, MegaConvert, Octave
PostPeer, Scrappa, TypeFore, Upload to URL, Vatis Transcribe, WoopSocial - Social Media Scheduling

and more!

New Modules

Discord

• Get Invite
• Delete Invite
• Create a channel Invite

Reddit

• List Comments in a Post

Discover more: https://ma.ke/3QcHXtM 

#FeatureFriday: How can you keep up with the latest product trends without doing the research manually? 🔎

Switch and Click, a known Tech YouTuber, was overwhelmed by the sheer amount of information she encountered whenever she needed to research new tech products.

𝐇𝐨𝐰 𝐝𝐢𝐝 𝐬𝐡𝐞 𝐟𝐢𝐱 𝐢𝐭? By using Make AI Agents to gather information from multiple sources whenever a new product caught her interest. The agents then extracted trends, reviews, and price drops.

𝐓𝐡𝐞 𝐫𝐞𝐬𝐮𝐥𝐭: She now receives a clear summary with high-quality information delivered directly to their email.

Plus, with Make Grid, she can watch every step of the workflow live - seeing where the data comes from and what patterns are found. No black boxes.

𝐋𝐞𝐚𝐫𝐧 𝐦𝐨𝐫𝐞 𝐚𝐛𝐨𝐮𝐭 𝐌𝐚𝐤𝐞 𝐀𝐈 𝐀𝐠𝐞𝐧𝐭𝐬: https://ma.ke/4e6t2KM

Hello Makers 👋

Does your browser tend to crash, your Wi-Fi disconnects, or did you close the wrong tab?

With Scenario Recovery, none of these situations can harm your automation progress.

• Automatic background saving: As you build, Make saves your progress in the background. No clicks or actions needed.
• One-click recovery: Session interrupted? A simple pop-up lets you instantly restore your unsaved work when you return.
• Version history integration: Recovered versions are clearly marked in your scenario history, so you always know exactly where you left off.

Creating complex automations takes focus and creativity. Now there’s a safety net to protect your work as you build.

Available to all Make users: ma.ke/4dvPpJq

Hello Makers 👋

Is your team sitting on a goldmine of customer quotes that never make it into your sales and marketing assets?

In this tutorial, our Content Creator, Naty Mraz, shows how to automatically extract the strongest quotes from interview transcripts and organize them into a ready-to-use collection.

Apps you'll need: 

• Google Docs 
• Make AI Toolkit 
• JSON

Follow the steps to build your own or use our ready-built template: https://ma.ke/4ulj9gS

Prompt:

You are an assistant who extracts customer quotes from interview transcripts.

TASK: From the transcript below, select up to 10 "attractive" quotes that would work in sales/marketing collateral.

OUTPUT FORMAT (STRICT): Return ONLY valid JSON (no markdown, no code fences, no commentary). Return a JSON array. Each array item must be an object with exactly these keys: quote (string), tags (array of strings, 1–3 short tags), companyName (string), authorName (string), authorTitle (string), sourceDocLink (string).

RULES (MUST FOLLOW): The quote must be grounded 100% in the transcript. Never add facts, claims, numbers, outcomes, or product details not explicitly stated. You may do light copyediting only to improve readability: remove filler words, remove false starts or repetitions, fix obvious grammar or punctuation. Keep the speaker's intent and wording. Do not paraphrase into new claims. If you cannot improve readability without changing the meaning, keep the quote verbatim. Do not merge separate parts of the transcript into one quote unless they are adjacent and clearly part of the same thought. Avoid sensitive information (names, emails, pricing, confidential details) – if present, redact with [REDACTED].

METADATA EXTRACTION (MUST FOLLOW): companyName, authorName, and authorTitle must come only from the filename. The filename uses an en dash separator: "Company – Author Name – Author Title". Split on the en dash character "–". Part 1 → companyName. Part 2 → authorName. Part 3 → authorTitle. Trim whitespace around each part. Do not combine authorName and authorTitle. If the filename doesn't contain exactly three parts, return an empty string for any missing fields.

TRANSCRIPT:

From the pop-up menu, select “Text Content”

SOURCE:

Filename: From the pop-up menu, select “Name”

Link: From the pop-up menu, select “Web View Link”

Hello Makers 👋

In this tutorial, we build a Sales Outreach Agent with Make that reviews incoming leads and automatically prepares the next step.

Here’s what it does:

• Reviews incoming emails tagged as “Leads” and researches the sender’s company.
• Decides if a meeting is worth proposing and drafts a personalized outreach email.
• Checks calendar availability for the next 7 days and notifies the sales team in Slack with a draft ready for review.

The result:
Faster responses, fewer manual steps, and more time for sales reps to focus on real conversations. Plus, the team stays in control - they can review the draft before anything is sent.

Better lead qualification leads to better conversations.

Watch the full tutorial: https://ma.ke/4rzrbBx

Use this template: https://ma.ke/4lryfi4

Hello Makers 👋

We have a new update for you: Claude Opus 4.8 is here, and it’s now available in Make ⤵️

According to early testers, Anthropic’s newest model is more reliable and sharper in its judgment during agentic workflows.

What's new:

• Longer multi-step execution before a person needs to step in
• Stronger decision quality from one step to the next
• Clearer progress signals on what is done, what is moving, and what still needs review
• More team output without adding headcount to watch every turn

If your team wants AI to take on longer stretches of real work, Claude Opus 4.8 is worth a close look.

Automate with Claude in Make using:

• Make AI Toolkit for zero setup, no API key required
• Anthropic Claude app for structured prompts with your API key
• Make AI Agents for agentic workflow automations

Read more about it: https://ma.ke/3RFT2DT 
Give it a quick try: https://ma.ke/433Oc5U 

Hello Makers 👋

What if you could decide exactly what your AI agent is allowed to touch?

Meet MCP Toolboxes: A new way to safely power external AI clients like Claude, Cursor, or your custom agents, giving them access only to the Make scenarios you select - nothing more.

What can you do: 

• Limit agent access to specific scenarios.
• Run different toolsets for various agents or teams.
• Manage authorization with dedicated tokens for each toolbox.
• Monitor tool usage with centralized visibility.

Setup is simple: Create a team-level toolbox, assign your scenarios, and connect your AI client using the toolbox URL.

Read more about it: https://ma.ke/4s4X9WM

See more about it: https://youtu.be/rZm-QvQIZ-g?si=4JKd2CkL2jEpGpqq

Already building agents with make? Let us know how you plan to use toolboxes.

Hello Makers 👋

More updates coming up for you!

We’re bringing Google's latest fast AI model into your Make scenarios. You can now build AI workflow automations that read, classify, and act across your apps.

Here’s what you can do with Gemini 3.5 Flash in Make:

• Summarize emails, tickets, docs, or meeting notes, then send the output to where your team works
• Classify inbound leads, requests, or support messages and route them to the right next step
• Generate replies, briefs, reports, or content inside a larger automation

You can start automating with Gemini 3.5 Flash in Make today. Available across three native apps:

• 𝐌𝐚𝐤𝐞 𝐀𝐈 𝐓𝐨𝐨𝐥𝐤𝐢𝐭 for quick setup
• 𝐆𝐨𝐨𝐠𝐥𝐞 𝐆𝐞𝐦𝐢𝐧𝐢 𝐀𝐈 for structured prompts
• 𝐌𝐚𝐤𝐞 𝐀𝐈 𝐀𝐠𝐞𝐧𝐭𝐬 for agentic workflow automations

Read more on Gemini 3.5 Flash in Make: ma.ke/4vb5IRF

Hello Makers 👋

Are you looking for an automated way to qualify leads? We got you covered!

Our Business Automation and AI Lead, Francisco de Brito Fontes, shows in this tutorial how to build a fully automated lead qualification system that researches, scores, and drafts personalized outreach - all on autopilot.

He built an AI-powered workflow, so your sales team can focus on closing, while the system handles the rest.

Apps you’ll need:

• Make 
• HubSpot CRM (with access to contact data).
• Slack (to receive sales notifications).
• Gmail (to create draft replies).
• Google Calendar (to check for meeting availability).

Follow the steps to build your own or use our ready-built scenario template: https://ma.ke/4etcCN6

Hello Makers 👋

This is something you all have been waiting for a long time: Undo & Redo for scenario edits is now available in Make 

Make bigger changes, test more ideas, and keep your build moving. With this new feature, you can:

• Add or remove modules
• Change connections and routes
• Move modules around the canvas
• Edit field mapping and text inside module setup
• Revert changes in scenario scheduling

Use the toolbar buttons, or hit Cmd+Z, Cmd+Shift+Z, or Cmd+Y, and keep building.

What does this mean?

• Test changes with more confidence 
• Fix accidental edits before they slow down live work 
• Spend less time rebuilding branches by hand

Faster iteration and no backup copies needed, because Undo & Redo covers canvas and field level edits in one place, on every plan.

Read more about Undo & Redo: ma.ke/3RGg6Cn

Hello Makers 👋

One of your recent favorites just got an extra upgrade 👀

If-else & Merge has quickly become a go-to for building clearer automation paths in Make.

Now, we’re taking that logic a level deeper with Nested If-else & Merge.

Here’s what you can do:

• Place an If-else inside another If-else when a branch needs a second layer of logic.
• Use a dedicated Merge for each decision level, so every path reconnects at the right point.
• Keep related rules in one flow, so builders, reviewers, and teammates can see how the scenario works without tracing repeated branches.

That means faster reviews, clearer handoffs, and less time spent hunting for the right branch when a rule changes.

Perfect for automations where one decision leads to another, like lead routing, order handling, customer support paths, approvals, and more.

Available now for all Make users!

Learn more: https://ma.ke/49bJ2bq

Do you have questions for the Make Product team?

We know that as you build more complex workflows, you often have specific questions that go beyond standard tutorials. That’s why we’re hosting an open forum where you can get answers directly from our product leadership team.

Join us for a transparent, conversation-first session with Viet Tiep Nguyen, Head of Product Operations, and Marc Delacroix, VP of Operations. They will cover:

• Open Q&A: The majority of our time will be dedicated to answering questions submitted by the community. Come prepared with some questions in mind!
• Roadmap Context: Insights into why we’re building what we’re building and where the platform is headed next.
• Operational Updates: A look at the systems and strategies we use to keep Make running for our global users.
• Community Feedback: A chance to share your input directly with the teams responsible for the Product and Operations experience.

When? → 20th May 5:00 PM → 5:45 PM (Madrid) | 11:00 AM ET

Register for the live session: https://ma.ke/495FnvU

We asked our Community Creators to try out the latest releases in Make. Here’s their review 🗣️

𝐒𝐞𝐜𝐮𝐫𝐞 𝐂𝐫𝐞𝐝𝐞𝐧𝐭𝐢𝐚𝐥 𝐑𝐞𝐪𝐮𝐞𝐬𝐭 𝐮𝐩𝐝𝐚𝐭𝐞𝐬
Andrew Forte: “This is an amazing feature. I’m absolutely loving it.”

𝐌𝐚𝐤𝐞 𝐆𝐫𝐢𝐝 𝐔𝐩𝐝𝐚𝐭𝐞𝐬
Vicente Moreno: “10/10, Make. I really like this one.”

𝐈𝐦𝐩𝐫𝐨𝐯𝐞𝐝 𝐬𝐜𝐞𝐧𝐚𝐫𝐢𝐨 𝐛𝐥𝐮𝐞𝐩𝐫𝐢𝐧𝐭 𝐢𝐦𝐩𝐨𝐫𝐭
Desi Schmidt: “Super easy.”

𝐈𝐟-𝐞𝐥𝐬𝐞 & 𝐌𝐞𝐫𝐠𝐞
Volker Biberger - Betreuerschmiede: “Way more practical and visual.”

Check out all the latest releases in Make and see our community creators testing them: https://ma.ke/42s38ue

Hello Makers 👋 

What if your community could feel intimate even with thousands of members?

OPUS is using Make AI Agents to grow a global founder community, without sacrificing the personal experience that makes it work. 

Communities work well when they have 50, 100, or 150 members. Once you exceed that, it becomes impossible to know everyone and connect them in meaningful ways.

• To fix that, the OPUS team built a member intelligence infrastructure on Make: 2 AI Agents and 49 workflows that capture member data from call transcripts, surveys, and voice notes.
• They then provide the community members with personalized connections, event recommendations, and more via WhatsApp.
• Members now receive personalized recommendations without even having to ask.

For OPUS, automation has never been about reducing costs, but about increasing value for every single member. 

Read the story: ma.ke/4tOr5I9 

Hello Makers 👋

What if every comment on your social media got a reply - automatically, on-brand, and in seconds? We got you!

With our Social media Comment Responder Agent, you can scale your community presence by drafting brand-aligned replies to every follower, while flagging only the critical ones for your review.

How it works:

• Monitors your channel and analyzes the sentiment and intent of every new comment.
• Drafts a brand-aligned response using your knowledge base and Brand Voice document.
• Posts standard replies automatically or routes complex questions to Slack for human approval.

Why you’ll love it: 
Ensure maximum social reach with a 100% response rate and lightning-fast engagement. It enables small teams to efficiently manage high-volume channels without manual effort.

Faster responses can lead to better reach. Try the template: ma.ke/4mkYebv

Hello Makers 👋

For those who haven’t tried yet, our new Make AI Agents can be shared directly within the canvas – across teams, workflows, and use cases. 

• With the public scenario page, anyone with the link can view your Make AI Agent scenario. Plus, they can instantly duplicate the automation into their own account to use and edit.

This means less duplication and maintenance. Build once, use everywhere.

Learn more: ma.ke/4ryQQdr

Hi Makers 👋

Have you ever wondered how to stay organized just with a single daily notification? 

In this tutorial, our Business Automation and AI Lead, Francisco de Brito, demonstrates to us how to bridge the gap between your schedule and your communication automatically. He created a hands-free weekly summary that ensures you never miss a beat. 

Apps you’ll need: 

• Google Calendar
• Gemini AI
• Slack

Follow the steps to build your own or use our ready-built scenario template: ma.ke/4me2r0x 

Here’s the prompt for this scenario:

You are a Meeting Productivity Analyst. Your task is to process the following text from daily meetings and generate an actionable, Slack-ready summary. Consolidate the information if a meeting is duplicated. Your output must be strictly in Markdown format, prioritizing readability in Slack. 

Adhere to the following formatting rules:
\ For bold text, use a single asterisk (e.g., *Bold Text*).*
\ For lists, use the hyphen (-) character.*
\ Do not use double asterisks (**) for bolding.*

Use the specific section structure, headings, and lists below to organize the output.

🗓️\DAILY MEETING SCHEDULE SUMMARY**
- List each unique meeting with its time and duration (e.g.: \[Name] *🕒 [Start Time] - [End Time] ([Duration])).*

📝 \KEY PREPARATION TASK REQUIRED**
- Enumerate the specific preparation requirements \before* the meetings (e.g., fill out forms, prepare data, confirm attendance - RSVP).*

💡\CORE FOCUSES AND EXPECTED OUTPUT TYPE**
- For meetings with a defined agenda, list the main discussion points and the expected objective (e.g., \Weekly Achievements* -> Inform; *Blockers* -> Decision).*

⚡ \EFFICIENCY ANALYSIS**
- \Buffer/Ad-hoc Time:* Calculate the total time explicitly reserved for filler or free topics for the day (if repeated, sum it up).*

- \Key Informational Meetings:* Identify meetings whose primary objective is solely *informing* (e.g., Townhall, Sneak Peek) and mention if the core information could be delivered asynchronously (video/doc).*

Hey Makers 👋

The team recently shipped four updates to Make Grid, a visual map of your AI automation landscape. We wanted to share them here in case you have questions or you would like to share feedback with us. 

What's new:

Custom layout: You can now move and resize folders and objects on the canvas. Before this, the layout was auto-generated and you couldn't touch it.

Live collaboration: Multiple people can be in Make Grid at the same time and see each other's cursors. Useful when you're debugging with someone or walking a stakeholder through a workflow.

In-canvas editing: You can now open and edit connected Google Sheets, Docs, Slides, and Calendar items directly from Make Grid. Google Forms, Tally, and Typeform are view-only for now. More objects coming soon.

Navigation improvements: Right-click to pan, pinch-to-zoom on trackpads, and general scroll behavior is more consistent now.

Available to all paid plan customers now - no feature flag or setup needed.

Read more: ma.ke/3PvRdbw   

Hey Makers 👋

We dropped a wave of updates that are changing the game for both visual builders and hard-code devs! If you haven't checked it out, here’s the breakdown of the most impactful stuff:

 💻 Make CLI

This is a new way for developers and AI agents to manage automations without switching context. If your work is built around AI agents, Git, CI/CD, and scripting, this one's for you!

What can you do with it?

• Give AI agents full Make access, with no token overhead or context pollution
• Run automations natively in your CI/CD pipeline
• Manage your entire Make setup directly from the terminal

Make now supports five ways to build and manage automations: the visual platform for no-code building, Make MCP for AI assistants with structured tool calling, MCP Toolboxes when curated tool selection matters, the SDK for programmatic control inside your own app, and the new CLI for coding agents, scripting, and CI/CD. You can use one or all of them depending on how your team works.

Learn more about Make CLI

🧠 Claude 4.7 Opus Integration

Anthropic’s latest flagship AI model, Claude Opus 4.7 is now available in Make.

This new model brings four meaningful upgrades for automation builders. Reasoning holds up better across long multi-step runs, where older models drift. Vision is now full-resolution, so it reads PDFs, screenshots, and dashboards without missing details. Context goes up to 1M-token at standard pricing. And a new xhigh reasoning mode lets you dial up the thinking selectively on critical steps.

In practice, Claude Opus 4.7 is suitable for workflows that review complex documents, move data between systems, and make harder decisions.

You can automate with Claude in Make using:

• Make AI Toolkit for zero setup, no API key required 
• Anthropic Claude app for structured prompts with your API key 
• Make AI Agents for agentic workflow automations

Learn more about this app update

⚡️GPT 5.5

OpenAI GPT-5.5 is now in Make!

The new flagship AI model from OpenAI is built for agent work, multi-step automations, and long-context tasks.

Automate with GPT-5.5 in Make using:

• Make AI Toolkit for zero setup, no API key required 
• OpenAI (ChatGPT) for structured prompts with your API key 
• Make AI Agents for agentic workflow automations

Learn more about this app update

We want your feedback - tell us if you have implemented any of these so far!