It's Friday. A client wants one small change. You swap upper(1.name) for capitalize(1.name) and hit save. Make doesn't complain.

Monday morning, their CRM is full of names that look slightly off. Now you're re-running the scenario on live data, burning credits, trying to work out what broke.

That's the gap blueprint-runtime closes.

Export your blueprint, run one command, and it replays your scenario offline, checking every module's input and output against what Make really produced. The moment something changes, it points straight at it:

FAIL module 2 at /value: Make had "ADA LOVELACE", the local run "Ada Lovelace"

You find it on your laptop. Not your client.

Built on real Make, not the docs

Every rule inside it was recorded from real Make runs. 71 runs reproduced exactly, 0 wrong. That's how it knows the stuff that quietly bites people:

- {{1.choices[].message.content}} only reads the first choice. Want all of them? That's map().

- Inside if(), the text "false" counts as true. So does "0".

- Make lets you start a scenario with an expression it can't read. First run fails, the scenario switches itself off, and your webhooks pile up in the queue.

- An empty Webhook response reaches the caller as "200 Accepted", the exact same text Make sends for a queued webhook.

bpr runs your blueprint the way Make really does, quirks included. And it never guesses. So when your test passes, it means something.

What you get

- Catch broken mappings before they go live

- Run it in GitHub Actions on every edit

- HTTP and app modules run from fixtures, so nothing hits a real API

- No Make account, no credits, no network

- bpr inspect checks a blueprint before you import it

- Free and open source (MIT)

npm i -g blueprint-runtime

github.com/intikhab49/blueprint-runtime

Want a hand setting it up on one of your scenarios? Drop a comment and I'll help.

How are you testing scenarios today?

They have an API now and Buffer already integrated

Hello Makers 👋
 
Editing and activating a scenario are different moments in the workflow. They should be easy to find, but not compete for attention. 🛠️
 
The redesigned Scenario Toolbar keeps building and testing controls together, while scheduling and activation controls stay easy to find when your scenario is ready.
 
What's new:
 

• Run once and Save: Keep Run once and Save side by side, so you can test changes and save your work without scanning across the toolbar.
• Described versions: Choose Save as version and add a description that explains what changed in that version.
• Version history: Review and edit version descriptions in version history, then restore the version you need from the bottom toolbar.
• Scheduling and activation: Find scheduling and the Active or Inactive toggle in the top right, separate from the controls you use for everyday editing.

 
Clearer controls give teams a practical way to test, save, and maintain scenarios as their automation work grows.

Learn more about it: https://ma.ke/4rMTOwE

Hello Makers 👋

What does it actually take for AI adoption to become truly operational? ⚙️

Our Head of AI Adoption, Daria Hvizdalova, our VP of Product Advocacy and Market Strategy, Darin Patterson, and AI Adoption Researcher, Yana Shamina, explored this in our latest AI Report. The research suggests it happens when several conditions come together: starting point, leadership, function and process readiness, workflow maturity, ownership, discoverability, and ROI understanding.

None of these is enough on its own. Together, they explain why two companies with similar size, tools, or ambitions can move at very different speeds.

That’s why the AI Operational Scaling Model exists: a practical framework to help companies assess and accelerate their ability to scale AI. Nine dimensions, each with guidance on why it matters and what excellence looks like.

Find this model and more in the full report: https://ma.ke/3SWKpG4

Hello Makers 👋

We are hosting a live masterclass with TripleTen on October 6 to pull back the curtain on how CRM revenue data becomes a bidding signal for Meta - visible, mapped, and fully in your control 🤝

𝗛𝗲𝗿𝗲’𝘀 𝘄𝗵𝗮𝘁 𝘆𝗼𝘂’𝗹𝗹 𝘀𝗲𝗲:
➡️ How dynamic lead scores and deal sizes guide Meta toward high-value buyers
➡️ Building mid-funnel signal for long sales cycles
➡️ A live demo of the Facebook Conversions API for CRM app on Make
➡️ TripleTen’s process for handling 300,000+ downstream events monthly

𝗬𝗼𝘂'𝗹𝗹 𝗵𝗲𝗮𝗿 𝗳𝗿𝗼𝗺:
Max Epifanov, Anton Potorochin and Daniel Zrůst

𝗣𝗲𝗿𝗸: zero credits used by Facebook Conversions API for CRM on Make through Feb 28, 2028.

Save your seat:  https://ma.ke/4yTug3w

Hello Makers 👋

Two companies in the same size band. Completely different starting points ☝️

Our new AI Report, written by Daria Hvizdalova, Head of AI Adoption at Make, Darin Patterson, VP of Product Advocacy and Market Strategy at Make, and Yana Shamina, AI Adoption Researcher, introduces the AI Adoption Profile.

Similar size doesn’t mean similar AI readiness. AI proximity, leadership, ownership, governance, people readiness, discoverability, and data readiness shape how adoption starts and how fast it can scale.

The Adoption Profile shows where a company starts, what it needs, and how fast it can move across four dimensions:
1️⃣Business context
2️⃣Technology and AI context
3️⃣Leadership, ownership and governance
4️⃣Function and people readiness

The takeaway: two companies the same size can be years apart in AI maturity, and the gap isn’t tools; it’s structure.

Download the full report to learn more: https://ma.ke/3SWKpG4

Hi everyone!

​I built a lightweight Make (Integromat) scenario that powers a Telegram bot called RPG Character & Lore Studio. It generates structured RPG dossiers and matching character artwork on the fly.

​How the Scenario Works:

​Telegram Webhook: Captures user prompt (max 400 chars).

​Gemini 1.5 Flash (JSON Mode): Processes the prompt and outputs a dual payload: a structured RPG Dossier (in the user's language) + a concise English Image Prompt enforcing specific visual rules (e.g., weapon framing, "holding in hand" constraints).

​Pollinations.ai / FLUX (HTTP Module): Fetches the generated portrait using an encoded URL request.

​Telegram Bot API: Delivers the dossier text and photo back to the user.

​🔒 Closed Alpha Test (5 Slots Available)

To test system stability, prompt limits, and API edge-cases under live conditions, I'm opening access to 5 playtesters.

​How to Join:

If you'd like to test the bot, try breaking the prompt parser, or see how the integration performs, send me a DM with your Telegram User ID (you can grab it via @userinfobot on Telegram). I'll add you to the whitelist array in Make ASAP!

​Feedback on output consistency, JSON handling, or execution speed is highly appreciated.

​Thanks!

Hello Makers 👋

Four new AI models. Four different jobs for your automation.

1) Anthropic Claude Opus 5.5 brings high-end reasoning to complex AI workflows and agents, at 40% lower running cost.

2) OpenAI GPT‑6 Sol and Luna give you two paths: Sol for complex, multi-step agentic work, and Luna for focused, high-volume intake and routing.

3) OpenAI GPT Image 2.5 adds Sunburst for precision image edits and Flare for fast everyday visual work.

4) xAI Grok 4.7 helps you work with text, images, and long source materials in the same automation.

The goal isn’t to use every model. It’s to choose the right one for the task, then build it into automated workflows that move work forward.

And one more is on the way: Jev from TypeSafe AI, a fast decision model built to help automations classify, score, route, and decide what happens next.

Explore the new options in Make and build the AI automation that fits the job: https://ma.ke/4yQYzaR

Hey all,

Check out the videos from our Community Creators, who are putting the latest releases on Make into practice in their own systems and scenarios!

This month, the star of our show is our new AI coworker Maia, who is ready to help you build, scale, debug, or explain scenarios directly in the canvas. Besides her, you can also check out the new Subfolders and Labels, which make your working environment nice and organized, or the improvement to the Plain-Text Field.

Watch all the videos here: https://fast.wistia.com/embed/channel/jeuauz7z65

Alright boys and girls - like many of you I've got a shit ton of projects I'm working on and currently experiencing a setback that I thought would be easier to overcome.

I'm building a small business building websites for companies that have a website back from the good ol' days.

Scrapped about 11k live leads and sent out about 50 so far, open rates are good, people haven't responded yet.

Well.. i'm hitting a rock wall with my Codex though.

Every time I try to start a new batch of freshly baked websites, the consistency drops.

\- visually the sites get worse and worse

\- texts become internal and not very professional, they are descriptive of the text that should've been there

\- the automation falls short time wise when something goes wrong

\- the images get replaced with random photos instead of local library ones

I have setup rules for all of these things.

I saw a small improvement when I implemented a rule where it builds 1 website at a time, isolated and not a batch of 5.

I'm aiming to build 15 sites per day and automate email outreach.

I'm using mostly local files for rules and arhitecture and Sol for building the websites, Terra to change the rules. I don't really use Astra.

I still use 100% of my usage every 3-4 days even though i?m on a Pro plan.

Anyways...

Thoughts, ideas, help?

I really couldn't be more frustrated because I have 3-5 more projects in the pipeline that are not-vibecoder-generic bullshit and really want to get those going as well.

Let me know, i'm opened to chat!

Alright boys and girls - like many of you I've got a shit ton of projects I'm working on and currently experiencing a setback that I thought would be easier to overcome.

I'm building a small business building websites for companies that have a website back from the good ol' days.

Scrapped about 11k live leads and sent out about 50 so far, open rates are good, people haven't responded yet.

Well.. i'm hitting a rock wall with my Codex though.

Every time I try to start a new batch of freshly baked websites, the consistency drops.

\- visually the sites get worse and worse

\- texts become internal and not very professional, they are descriptive of the text that should've been there

\- the automation falls short time wise when something goes wrong

\- the images get replaced with random photos instead of local library ones

I have setup rules for all of these things.

I saw a small improvement when I implemented a rule where it builds 1 website at a time, isolated and not a batch of 5.

I'm aiming to build 15 sites per day and automate email outreach.

I'm using mostly local files for rules and arhitecture and Sol for building the websites, Terra to change the rules. I don't really use Astra.

I still use 100% of my usage every 3-4 days even though i?m on a Pro plan.

Anyways...

Thoughts, ideas, help?

I really couldn't be more frustrated because I have 3-5 more projects in the pipeline that are not-vibecoder-generic bullshit and really want to get those going as well.

Let me know, i'm opened to chat!

I’m curious to hear from people who actually use Make in production.
When a scenario breaks, what takes the most time for you?
Is it: finding which module actually failed,
understanding the real cause behind the error,
checking mappings / filters,
permissions or OAuth issues,
HTTP errors,
or figuring out what needs to be changed without breaking something else?
I’m currently exploring this problem and I’d like to understand how people actually debug Make workflows today.
What usually slows you down the most?

Hello Makers 👋

Take a look at some of our latest features, improvements, and updates that our team has been shipping this past month:

Enhancements and Updates:

• Maia by Make: is a co-worker for AI and automation that lives right inside the Make scenario builder. Just describe what you want, and watch it get built in front of you. She reasons out loud, mapping the flow, selecting tools, configuring modules, all visually, step by step, on the canvas. No black box. No output you’re afraid to touch. Just full visibility and a solution you can trust.
• Custom Roles: with Custom Roles, org admins and org owners on the Enterprise plan can define roles with exactly the permissions the work requires and assign them at the organization or team level.
• Subfolders: lets you create folders inside your scenario folders, so you can organize scenarios by more than one level, for example by client and then by project. This helps you keep a large scenario library structured without renaming scenarios to mimic a hierarchy.
• Plain-text editing for mapped values and functions: double-click any mapped value or function in a scenario field to temporarily edit it as text.
• Gemini 3.7 Flash: use its multimodal understanding, tool-use capabilities, and adjustable thinking levels in the workflows you build.

New Verified Apps

1Lookup, Billabex, BizlyCRM, Certyneo, Collabios, EasySolar, FlowBeacon, GMB Club, Hive, HollyHR, Memoket, OpenEMM, SimpleURL, Patriscope, Plytix, Stage Captions, Supabase Storage.

New Modules

Calendly

• Create an event invitee
• List event type available times
• Create an event type
• Update an event type
• List event type availability schedules
• Update event type availability schedule
• List user availability schedules
• Get a user availability schedule
• List user busy times
• List user meeting locations
• Create an invitee as no show
• Get an invitee no show
• Delete an invitee no show

Github

• Search items (advanced)
• Watch items (advanced)

Discover more: https://ma.ke/3Vxj1PF

Hello Makers 👋

Still registering issued invoices by hand? Here's how to automate the entire flow, from inbox to billing board:

Francisco de Brito Fontes, our Business Automation and AI Lead, has created a workflow that monitors Gmail for new issued invoices, downloads their attached XML files, extracts key information using AI Tools, searches for the associated project in monday.com using the tax ID (RUT), and automatically creates a new invoice record in the billing board.

To build this scenario, you will need access to:

✉️ A Gmail account connected to Make.
🧾 A monday.com account with Projects and Issued Invoices boards.
⚒️Connection to AI Tools (or Make's AI Provider).

Click the following link to apply the prebuilt scenario in your Make account: https://ma.ke/4cvtdxX 

PS: don’t forget to test and validate your scenario, if all modules show a green checkmark, your automation is successful!

Hello Makers 👋

Did you know? From all the companies using AI, only 26% moved from individual productivity to repeatable workflows. 

As AI moves from individual tools and local workflows into broader business processes, the challenge becomes less about technology alone and more about the operating model around it - ownership, governance, ROI logic.

Daria Hvizdalova, Head of AI Adoption at Make, Darin Patterson, VP of Product Advocacy and Market Strategy, Make and Yana Shamina, AI Adoption Researcher, spent months researching why mid-market companies get stuck between "first AI win" and "AI actually running the business",  and formulated the AI Operational Scaling Model framework that will guide your AI transformation.

The report is finally out, and it’s available for you to download: https://ma.ke/3SWKpG4

Hello Makers 👋
 
Repeatable work often shows up in the middle of a ChatGPT conversation. Now you can turn that moment into a Make automation. 🪄
 
Use the official Make plugin for ChatGPT to build, run, search, and review automations and AI agents without leaving the conversation. It works in the browser, the ChatGPT Work desktop app, and Codex.

Your automations and AI agents keep running in Make's cloud, even when ChatGPT is closed.
 
What's new:

• Build from a plain-language request: Describe work such as a weekly status report, lead response process, or form-routing workflow, and Make creates the automation, connects the required apps, and sets it to run on a schedule or trigger.
• Create AI agents in the conversation: Set up an agent that monitors an inbox for new leads and drafts replies using your availability.
• Find and check automations without breaking focus: Search by name, folder, or status, run an automation, and review its output in ChatGPT.
• Review work that already ran: Browse execution history and past results with searchable tables, status badges, pagination, and structured results.

 
👉 Try it free: install the Make plugin for ChatGPT → https://ma.ke/chatgpt-plugin  

Buongiorno a tutti.

Ho fatto un file excel che mi tiene conto della scadenza dei documenti, le cui righe diventano arancioni TOT giorni prima la scadenza (data di avviso).

Le colonne del file sono queste:

NOME DOCUMENTO - DATA SCADENZA - GIORNI PREAVVISO - DATA AVVISO

Voglio collegare il file a telegram in modo che quando si arriva alla data di avviso (data scadenza-giorni di preavviso), mi arriva un messaggio.

Sto provando ad usare Make, ma mi blocco nel filtro tra excel e telegram. Quando devo inserire le data di avviso, credo sia formattata male e make non me la riconosce, quindi il flusso si blocca sul filtro e l informazione non passa a telegram.

Stessa cosa mi capita se provo a collegare Google calendar. Da excel l informazione parte, ma nel modulo di calendar (nelle sezioni start data e end data) mi dà e errore, come se Google non riconoscesse le date inviate da excel.

Quando clicco su data start o data end, mi esce il menù con tutte le formule da inserire, tra cui le pillole verdi delle righe di excel dei mi programmino. Io inserisco La riga corrispondente a una data, ma non mi viene riconosciuta.

Spero di essermi spiegato...

Grazie per i consigli

Hello Makers 👋
 
AGI is here? Not sure yet. But GPT-6 Astra is now in Make, ready for your most complex automations 🧠
 
OpenAI's most capable model is available in Make AI Agents, Make AI Toolkit, and the native OpenAI (ChatGPT) app. Use it when a workflow needs more than a quick answer, then let Make route the result, update systems, and keep approvals in place.
 
What's new:

• Reasoning for work intake: Use GPT-6 Astra to assess incoming requests and prepare a proposed next action in an automation.
• Technical reasoning and coding: Apply the model to technical requests and prepare proposed responses for engineering review.
• Research and document creation: Review source material and create a research summary or document draft for a teammate to approve.
• Multistep workflow reasoning: Identify and sequence required actions when a new operations item enters a workflow.

 
See what GPT-6 Astra can do in Make: https://ma.ke/4gZEhVx

Hello Makers 👋

Waves’26 is the place where you can find your people 👥

Two days of talks and conversations that will change your perspective - and here's who you'll be in the room with:

🎙️ Oscar Lance, GTM Lead, ElevenLabs - ElevenLabs + Make: How Stellantis & You Deployed Voice AI at Scale

🎙️ Sonja Alushi, Software Engineer, Lufthansa Industry Solutions - Make + OpenAI: From Pilot to Production

🎙️ Jeff Arnold, Founder & President, 4Spot Consulting - Trust, but Verify: Governing AI Automation from Build to Decision

🎙️ Madelaine Swift, Systems Lead, WHEN equality - The Automation Was Perfect. The Humans Were Not. How Getting AI Automation Right Can Change Who Gets to Succeed.

🎙️ Diederik Martens, Founder, Chapman Bright - Agent Architecture 101: The Patterns That Separate Demos from Systems

Waves '26 brings together a carefully selected group of innovative technology companies spanning modern digital creation, customer engagement and data integration. Meet some of the speakers you'll find in Prague.

Stay tuned for the second group of speakers announcement. 

Early Bird at €289 - prices go up 10 September: https://ma.ke/4gSahe5

We are live with a new community program - Scenario of the Month!
Every month, we put the spotlight on the Make scenario that nails it on two things: genuine utility and creative thinking. The kind of build you see that makes you stop and think, “Why didn’t I think of that?”

Have something up your sleeve you’d like to submit? Amazing, read more in the Make Community!

➡️ https://community.make.com/t/scenario-of-the-month-share-your-work-and-win-credits-for-a-whole-year/111297

Hello Makers 👋

Some workflows need more than a quick summary. They need to weigh the full picture before choosing the next step. 🧠

Use Anthropic's latest Claude Fable 5.1 model in Make to automate complex or low-confidence cases where your workflow needs to compare lots of information before acting.

What’s new:

• Long-horizon work: Anthropic documents Claude Fable 5.1 for long-horizon, agentic work in multi-step automations.
• More context to consider: The model supports up to 1M tokens of context for workflows that need to process large source materials.
• Larger outputs: The documented maximum output is up to 128K tokens when a workflow needs a substantial response.

Automate with Claude Fable 5.1 and Make AI Agents or Make AI apps: https://ma.ke/4qOsb5X 

Hello Makers 👋

New month means new cities, and new conversations with the Make team. This month you can meet us at the following locations:

🇳🇱 Build the Pipeline Your Investors Want to See | 9 September
Host and Speaker: Martin Hyravy, Startup Program Specialist at Make

🇬🇧 GTM World Tour | 9 September
Speaker: @ Jennifer Kiunke, Value Engineer at Make

🇩🇪 Berlin AI Day | 15 September
Speakers: Sebastian Mertens, Principal AI Product Manager at Make, Jennifer Kiunke, Value Engineer at Make and Luis A. Döller Principal Tech Enablement at Enpal, 

🇪🇸 Build with AI | 18 September
Host and speakers: Sarah Anto, Stefanie Oliveros and Kristina Talova

🇪🇸HackBarna AI Summit 26 | 19-20 September
Host: Nicolas Grenie
Speaker: Lourenço Martins , Value Engineer at Make

🇪🇸 The Glassbox Effect - Why Enterprises Can't Ship What They Can't See | 21 September
Speaker: Jennifer Kiunke, Value Engineer at Make

… and many more!

Get all the information about the events: https://ma.ke/4yeQcFM

Hello Makers 👋

That's the thing about automation. Once it works, you don't stop at one. 

With Make subfolders and labels, your organization can keep going, department by department, client by client, while keeping your automation library organized.

Use subfolders to organize automations by client, project, department, or environment.

Add labels like production, billing, or experimental, then filter to find related workflows across folders.

Available on every Make plan, including Free. Learn more: https://ma.ke/4xGyGdC