Video wird geladen...

Video konnte nicht geladen werden

Beim Laden dieses Videos ist ein Problem aufgetreten. Dies könnte an einem vorübergehenden Netzwerkproblem liegen oder das Video ist möglicherweise nicht verfügbar.

How to build an agentic workflow step by step. This is a 9-minute video where I'll build an application that will do the following: 1. Turn invoices into text (JPG, PNG, PDF...) 2. Extract their amount and due date 3. Format the date 4. Augment the data using tools... show more

Santiago

448,526 subscribers

92,721 Aufrufe • vor 1 Jahr •via X (Twitter)

Wissenschaft & Technologie

Anya Rossi• Live Now

Private livecam show

7 Kommentare

Profilbild von Santiago

Santiagovor 1 Jahr

If you want to give it a try, here is the link to the platform:

Profilbild von Breadcrumb

Breadcrumbvor 1 Jahr

Looking to automate reporting? Use AI agents to turn spreadsheets to reports in minutes without any coding.

Profilbild von ysh

yshvor 1 Jahr

LESSSGGOOOO! 🔥🔥

Profilbild von Antoni Rosinol

Antoni Rosinolvor 1 Jahr

Amazing tutorial, thank you @svpino

Profilbild von Pɾҽɱ Kυɱαɾ Aραɾαɳʝι 🤖👶🏼🐘

Pɾҽɱ Kυɱαɾ Aραɾαɳʝι 🤖👶🏼🐘vor 1 Jahr

Yes, the goal of any kind of automation, whether with rules or with probabilities, should be to eliminate the mundane. Eliminating Tedium should be the value proposition of such startups, not cost optimisation or headcount reduction.

Profilbild von Adam Lawson

Adam Lawsonvor 1 Jahr

I struggle with when to make an agent vs when to just use chat (GPT, DeepSeek etc). Example, I can accomplish this by simply uploading the file to ChatGPT, well structured prompt and viola! What's the trigger for agent? Is it scale?

Profilbild von Kai

Kaivor 1 Jahr

❤️

Ähnliche Videos

Here is a step-by-step introduction to building a workflow with a custom AI agent that uses MCP. I explain every component in the video: 1. Building the MCP server 2. Building the agent and an MCP client 3. Building a workflow that uses the agent The goal is simple: Generate a dialogue between two people and make one yell and the other answer with sarcasm. Kestra is sponsoring this video. They are an open-source orchestration platform (repo link below), and I used them to build the workflow that connects every component.

Here is a step-by-step introduction to building a workflow with a custom AI agent that uses MCP. I explain every component in the video: 1. Building the MCP server 2. Building the agent and an MCP client 3. Building a workflow that uses the agent The goal is simple: Generate a dialogue between two people and make one yell and the other answer with sarcasm. Kestra is sponsoring this video. They are an open-source orchestration platform (repo link below), and I used them to build the workflow that connects every component.

Santiago

51,527 Aufrufe • vor 1 Jahr

Build a loan underwriting agent workflow in ~5 mins 💵🤖 (No code, just English) I built an agentic workflow that can process incoming PDFs of financial statements: checking statements, bank statements, brokerage accounts, and extract/normalize the financials in each source of data. I did this by specifying the schemas and classification logic in plain English; our agent compiles this into a deterministic workflow with calls to agentic parsing to extract out all the information that you need. Our agent builder is now in LlamaCloud, you can sign up and try it yourself! Blog: Sign up:

Build a loan underwriting agent workflow in ~5 mins 💵🤖 (No code, just English) I built an agentic workflow that can process incoming PDFs of financial statements: checking statements, bank statements, brokerage accounts, and extract/normalize the financials in each source of data. I did this by specifying the schemas and classification logic in plain English; our agent compiles this into a deterministic workflow with calls to agentic parsing to extract out all the information that you need. Our agent builder is now in LlamaCloud, you can sign up and try it yourself! Blog: Sign up:

Jerry Liu

30,015 Aufrufe • vor 8 Monaten

i simply don't understand why nobody is building this... Andrej Karpathy, OpenAI Co-founder, introduced the "LLM Wiki" - a knowledge graph inside Obsidian i built my own version for AI UGC and here's exactly how you can do the same: - start by scraping hundreds of ads to extract hooks, scripts, voiceovers and CTAs - prompt Claude Code to turn this into an Obsidian Vault - write scripts using Fable 5 and send these to Higgsfield Supercomputer - generate avatars using Nano Banana Pro and clips with Seedance the article below teaches you how to build the full workflow step-by-step:

i simply don't understand why nobody is building this... Andrej Karpathy, OpenAI Co-founder, introduced the "LLM Wiki" - a knowledge graph inside Obsidian i built my own version for AI UGC and here's exactly how you can do the same: - start by scraping hundreds of ads to extract hooks, scripts, voiceovers and CTAs - prompt Claude Code to turn this into an Obsidian Vault - write scripts using Fable 5 and send these to Higgsfield Supercomputer - generate avatars using Nano Banana Pro and clips with Seedance the article below teaches you how to build the full workflow step-by-step:

Machina

20,427 Aufrufe • vor 1 Monat

Most people trying to build a vertical AI business start by building the agent. That's the mistake. Here's the 5-step order that actually works: Step 1) Find a boring pain point - Pick a workflow you already know from your job. - That's your unfair advantage. Step 2) Map the workflow - Literally draw it out. - Every step, every handoff. Step 3) Do the job as a service - Manually. - For real clients. - Before any code. Step 4) Document the edge cases - This is where the real IP lives. - You only find them by doing the work. Step 5) Add vertical agents to replace each step - Now you have proprietary data and a workflow you own. Skip steps 1–4 and you're just building a demo.

Most people trying to build a vertical AI business start by building the agent. That's the mistake. Here's the 5-step order that actually works: Step 1) Find a boring pain point - Pick a workflow you already know from your job. - That's your unfair advantage. Step 2) Map the workflow - Literally draw it out. - Every step, every handoff. Step 3) Do the job as a service - Manually. - For real clients. - Before any code. Step 4) Document the edge cases - This is where the real IP lives. - You only find them by doing the work. Step 5) Add vertical agents to replace each step - Now you have proprietary data and a workflow you own. Skip steps 1–4 and you're just building a demo.

The Startup Ideas Podcast (SIP) 🧃

14,202 Aufrufe • vor 5 Monaten

In the next 2-3 years, the skills you need to build an ETL process will fundamentally differ from anything we've done in the last decade. The EXTRACT and LOAD steps of an ETL pipeline have been solved forever. They are boring, and I suspect they will continue to be boring. But the TRANSFORM step is where the money is at (and where innovation will continue happening!) An ETL pipeline that can use Large Language Models effectively to transform data is a whole new ballgame. I recorded a video to talk about this. And more importantly, I talk about how you can build ETL pipelines to transform UNSTRUCTURED data (the kind of data that's really hard to handle).

In the next 2-3 years, the skills you need to build an ETL process will fundamentally differ from anything we've done in the last decade. The EXTRACT and LOAD steps of an ETL pipeline have been solved forever. They are boring, and I suspect they will continue to be boring. But the TRANSFORM step is where the money is at (and where innovation will continue happening!) An ETL pipeline that can use Large Language Models effectively to transform data is a whole new ballgame. I recorded a video to talk about this. And more importantly, I talk about how you can build ETL pipelines to transform UNSTRUCTURED data (the kind of data that's really hard to handle).

Santiago

56,412 Aufrufe • vor 1 Jahr

This guy built a tool that turns any document into a full animated explainer video. Drop in a PDF, an article or a research paper and it structures the content into a clear step-by-step explanation, then generates an animated video with narration built around it. The reason it stands out is the animation quality. You genuinely can't tell the videos are AI made. Reading a 40-page PDF is brutal. Turning it into a 3-minute video you actually absorb is the kind of thing everyone will end up using.

This guy built a tool that turns any document into a full animated explainer video. Drop in a PDF, an article or a research paper and it structures the content into a clear step-by-step explanation, then generates an animated video with narration built around it. The reason it stands out is the animation quality. You genuinely can't tell the videos are AI made. Reading a 40-page PDF is brutal. Turning it into a 3-minute video you actually absorb is the kind of thing everyone will end up using.

0xMarioNawfal

59,578 Aufrufe • vor 2 Monaten

Scrum is a cancer. There's nothing more bureaucratic, dysfunctional, and slow than a team that just wants to build software, but they are being forced to do it using Scrum. If you are stuck with this, here is a recommendation that will change your life: Go to connect your email, GitHub account, and the software you use to manage projects, and build a workflow that will brief you before every standup. Dimension is pretty incredible. You can literally write a prompt and have Dimension build an agent that will do the work in the background for you. Example: "Go to Linear and GitHub and write a summary of the tasks I completed last week. Organize them based on priority and effort. Send me an email with the results." Schedule this workflow to run 10 minutes before your Scrum meetings, and you'll get an email right before you need it. You can have AI now do all sorts of tasks for you: 1. Brief you before a meeting 2. Reply or handle cold emails 3. Take care of support messages 4. Research tasks for you And all of this can happen unprompted, in the background. Really awesome job from the team behind Dimension! Thanks to them for supporting my work by collaborating with me on this post.

Scrum is a cancer. There's nothing more bureaucratic, dysfunctional, and slow than a team that just wants to build software, but they are being forced to do it using Scrum. If you are stuck with this, here is a recommendation that will change your life: Go to connect your email, GitHub account, and the software you use to manage projects, and build a workflow that will brief you before every standup. Dimension is pretty incredible. You can literally write a prompt and have Dimension build an agent that will do the work in the background for you. Example: "Go to Linear and GitHub and write a summary of the tasks I completed last week. Organize them based on priority and effort. Send me an email with the results." Schedule this workflow to run 10 minutes before your Scrum meetings, and you'll get an email right before you need it. You can have AI now do all sorts of tasks for you: 1. Brief you before a meeting 2. Reply or handle cold emails 3. Take care of support messages 4. Research tasks for you And all of this can happen unprompted, in the background. Really awesome job from the team behind Dimension! Thanks to them for supporting my work by collaborating with me on this post.

Santiago

56,385 Aufrufe • vor 10 Monaten

I made an agent using GitHub Copilot SDK to help me become a running influencer🏃🏾‍♀️✨ Here's the Python code you can use to build an agent that uses MCP and Skills to: - draft and send email - design pitch decks - make a website Copilot CLI then runs all of this in a workflow🐍

I made an agent using GitHub Copilot SDK to help me become a running influencer🏃🏾‍♀️✨ Here's the Python code you can use to build an agent that uses MCP and Skills to: - draft and send email - design pitch decks - make a website Copilot CLI then runs all of this in a workflow🐍

Marlene Mhangami

34,574 Aufrufe • vor 8 Monaten

Google quietly shipped one of the biggest AI upgrades this year. Here’s the workflow → → Build a Notebook LM with your business docs → Import it into Gemini → Turn it into a custom Gem → Generate content using real data → Export tables straight to Sheets This replaces 5 tools instantly. Save this video, you’ll automate your workflow. Want the SOP? DM me. 💬

Google quietly shipped one of the biggest AI upgrades this year. Here’s the workflow → → Build a Notebook LM with your business docs → Import it into Gemini → Turn it into a custom Gem → Generate content using real data → Export tables straight to Sheets This replaces 5 tools instantly. Save this video, you’ll automate your workflow. Want the SOP? DM me. 💬

Julian Goldie SEO

13,220 Aufrufe • vor 8 Monaten

The job of a marketing engineer is to pull signals into one system and turn them into pipeline. Here is an example of an SEO/AEO workflow: 1) Read Google Search Console 2) Pull the keyword data from Ahrefs or SEMrush 3) Look in the CMS to find out if the post is already there 4) Put the keywords in order by search volume and buyer intent 5) Read the pages that are at the top of the results now 6) Add the founder's point of view 7) Write the post, the meta title and the internal links Then the agent sends all of it to a person for approval. The agent can only do this if you connect it to your live business data and your tools. "The tools are going to keep changing, but the workflow is the thing to actually learn." Learn the workflow first.

The job of a marketing engineer is to pull signals into one system and turn them into pipeline. Here is an example of an SEO/AEO workflow: 1) Read Google Search Console 2) Pull the keyword data from Ahrefs or SEMrush 3) Look in the CMS to find out if the post is already there 4) Put the keywords in order by search volume and buyer intent 5) Read the pages that are at the top of the results now 6) Add the founder's point of view 7) Write the post, the meta title and the internal links Then the agent sends all of it to a person for approval. The agent can only do this if you connect it to your live business data and your tools. "The tools are going to keep changing, but the workflow is the thing to actually learn." Learn the workflow first.

The Startup Ideas Podcast (SIP) 🧃

23,601 Aufrufe • vor 24 Tagen

Use this ai workflow to get 1000s of followers/day (Steps and tools included) Step 1: Find 3 posts that went massive Step 2: Ask Claude to break down WHY they worked Step 3: Extract the psychological patterns Step 4: Build prompts that interview YOU for context Tools: Claude 4.1 extended thinking (not basic GPT) Cost: $20/month Time: 10 min setup → infinite personalized content The KEY: Context is KING You have to feed it YOUR voice parameters You have to give it audience psychology You're one prompt away from automating your content creation like a pro Stop using garbage prompts Start reverse-engineering what works Use this playbook

Use this ai workflow to get 1000s of followers/day (Steps and tools included) Step 1: Find 3 posts that went massive Step 2: Ask Claude to break down WHY they worked Step 3: Extract the psychological patterns Step 4: Build prompts that interview YOU for context Tools: Claude 4.1 extended thinking (not basic GPT) Cost: $20/month Time: 10 min setup → infinite personalized content The KEY: Context is KING You have to feed it YOUR voice parameters You have to give it audience psychology You're one prompt away from automating your content creation like a pro Stop using garbage prompts Start reverse-engineering what works Use this playbook

The Startup Ideas Podcast (SIP) 🧃

21,530 Aufrufe • vor 11 Monaten

Anthropic engineer: “80% of our engineers are using self-improving loops. Now everyone is exploring how to build the right Context for agents.” in 3-6 months, we’ll all become context engineers. Context is the most important part of building agents.” In this 40-minute lecture, an Anthropic engineer shows how to build a self-improving agentic workflow from scratch. It’s worth more than a $500 agentic course. Watch this video, then read the article below on how to become a context architect.

Anthropic engineer: “80% of our engineers are using self-improving loops. Now everyone is exploring how to build the right Context for agents.” in 3-6 months, we’ll all become context engineers. Context is the most important part of building agents.” In this 40-minute lecture, an Anthropic engineer shows how to build a self-improving agentic workflow from scratch. It’s worth more than a $500 agentic course. Watch this video, then read the article below on how to become a context architect.

Movez

21,262 Aufrufe • vor 2 Monaten

Grok Build is an absolute beast! 🔥 Made this car chase using the Blender + Grok Build + Imagine trio. It’s crazy how quickly you can turn an idea into something that actually feels cinematic. The future of creating is getting seriously fun.

Grok Build is an absolute beast! 🔥 Made this car chase using the Blender + Grok Build + Imagine trio. It’s crazy how quickly you can turn an idea into something that actually feels cinematic. The future of creating is getting seriously fun.

DogeDesigner

60,200 Aufrufe • vor 16 Tagen

#WATCH | Nilgiris, Tamil Nadu: Addressing students at an event in a school, Lok Sabha LoP and Congress MP Rahul Gandhi says, "...We hear every day IT revolution, AI, data, we hear all these words, and we hear that this is the information age. An age where information is freely available and accessible. The job of an institution of a school like this is to create people who are able to look at the information, turn the information into knowledge, and, even more importantly, to behave with wisdom. Because if in the information age we do not have wisdom and we are carried away with information, the world will become a very unpleasant place. We will fight with each other, we will harm each other and so schools like this have a very important place because they turn young students into wise citizens..."

#WATCH | Nilgiris, Tamil Nadu: Addressing students at an event in a school, Lok Sabha LoP and Congress MP Rahul Gandhi says, "...We hear every day IT revolution, AI, data, we hear all these words, and we hear that this is the information age. An age where information is freely available and accessible. The job of an institution of a school like this is to create people who are able to look at the information, turn the information into knowledge, and, even more importantly, to behave with wisdom. Because if in the information age we do not have wisdom and we are carried away with information, the world will become a very unpleasant place. We will fight with each other, we will harm each other and so schools like this have a very important place because they turn young students into wise citizens..."

ANI

13,678 Aufrufe • vor 8 Monaten

how to build an AI-first SaaS in 2026 1. start with a big market. finance, healthcare, real estate. then zoom into a sub-niche. 2. map the niche’s workflow end-to-end. literally write every step they do daily. ex: leads → scheduling → quoting → follow-ups → payments. 3. highlight where money changes hands. deposits, invoices, negotiations. those moments are where software captures value. 4. identify the repetitive mechanical tasks. anything someone does the same way every day is an automation opportunity. 5. quantify the pain. if a business owner spends 100 hours a year on something and their time is worth $300/hour, that’s a $30k problem. 6. manually perform the workflow yourself. most AI SaaS actually starts as a service. that’s why so many new YC companies begin with humans in the loop. 7. document every step. separate judgment tasks from mechanical tasks. agents handle the mechanical work. 8. turn those steps into agent workflows and connect them to real tools (email, slack, stripe, crm, APIs). 9. build media while you build the product. post daily about the workflow. use AI to research content ideas and scripts. the audience becomes your distribution. 10. launch narrow, show proof (hours saved, revenue generated), then expand into adjacent workflows until you become the default execution layer for that niche. people saying everyday that saas is dying it’s evolving into agents + software + media. full breakdown in the latest episode of The Startup Ideas Podcast (SIP) 🧃 lots of sauce in this one all for free because i can't wait to see what you build watch

how to build an AI-first SaaS in 2026 1. start with a big market. finance, healthcare, real estate. then zoom into a sub-niche. 2. map the niche’s workflow end-to-end. literally write every step they do daily. ex: leads → scheduling → quoting → follow-ups → payments. 3. highlight where money changes hands. deposits, invoices, negotiations. those moments are where software captures value. 4. identify the repetitive mechanical tasks. anything someone does the same way every day is an automation opportunity. 5. quantify the pain. if a business owner spends 100 hours a year on something and their time is worth $300/hour, that’s a $30k problem. 6. manually perform the workflow yourself. most AI SaaS actually starts as a service. that’s why so many new YC companies begin with humans in the loop. 7. document every step. separate judgment tasks from mechanical tasks. agents handle the mechanical work. 8. turn those steps into agent workflows and connect them to real tools (email, slack, stripe, crm, APIs). 9. build media while you build the product. post daily about the workflow. use AI to research content ideas and scripts. the audience becomes your distribution. 10. launch narrow, show proof (hours saved, revenue generated), then expand into adjacent workflows until you become the default execution layer for that niche. people saying everyday that saas is dying it’s evolving into agents + software + media. full breakdown in the latest episode of The Startup Ideas Podcast (SIP) 🧃 lots of sauce in this one all for free because i can't wait to see what you build watch

GREG ISENBERG

189,220 Aufrufe • vor 6 Monaten

I recorded a video on how you can build a complete RAG application without writing any code. I used Langflow, an open-source project that sits on top of Langchain. Langflow hides all the complexity and makes the process 10x easier. This is a step-by-step tutorial.

I recorded a video on how you can build a complete RAG application without writing any code. I used Langflow, an open-source project that sits on top of Langchain. Langflow hides all the complexity and makes the process 10x easier. This is a step-by-step tutorial.

Santiago

96,267 Aufrufe • vor 2 Jahren

my SEO agency makes an extra $1.5k every month by using this n8n automation... my workflow builds a multi-source analytics dashboard that: - pulls data from Google Search Console, Ahrefs and SEMrush - auto-generates branded client reports - delivers trends insights via Slack weekly I wrote a step-by-step guide on how you can build this for yourself reply "SEO" + follow me and I'll send it you for free

my SEO agency makes an extra $1.5k every month by using this n8n automation... my workflow builds a multi-source analytics dashboard that: - pulls data from Google Search Console, Ahrefs and SEMrush - auto-generates branded client reports - delivers trends insights via Slack weekly I wrote a step-by-step guide on how you can build this for yourself reply "SEO" + follow me and I'll send it you for free

Machina

56,932 Aufrufe • vor 1 Jahr

Here are weeks of work done in minutes: A year ago, this would have been impossible. Today, we can finish an entire workflow using AI in minutes. I recorded the step-by-step process of solving the following problem: • Connecting to Paul Graham's website • Downloading his last 3 essays • Summarizing them The best part: I didn't write a single line of code. Instead, I used n8n.io. They released an integration with Langchain and gave me access to their beta version to try. They are also sponsoring this post. I'll use a conversational agent in the video to generate fake summaries. You can include these agents in any workflow. They work everywhere. If you want to try and build a workflow, check this out: The future looks insane. Do you think coding will become less prominent with AI and automation in the next decade?

Here are weeks of work done in minutes: A year ago, this would have been impossible. Today, we can finish an entire workflow using AI in minutes. I recorded the step-by-step process of solving the following problem: • Connecting to Paul Graham's website • Downloading his last 3 essays • Summarizing them The best part: I didn't write a single line of code. Instead, I used n8n.io. They released an integration with Langchain and gave me access to their beta version to try. They are also sponsoring this post. I'll use a conversational agent in the video to generate fake summaries. You can include these agents in any workflow. They work everywhere. If you want to try and build a workflow, check this out: The future looks insane. Do you think coding will become less prominent with AI and automation in the next decade?

Santiago

218,618 Aufrufe • vor 2 Jahren