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How does an FDE audit a real workflow? We did one for a $5B public software company with 150+ products. Step 1: Read their process document. - Theirs had 7 steps: build the quote, submit, Deal Desk, approve, send, negotiate, sign. Step 2: Interview more than one person. -...

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The Startup Ideas Podcast (SIP) 🧃

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10,078 görüntüleme • 1 ay önce •via X (Twitter)

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Hussain Hashim | Building SundayBack profil fotoğrafı
Hussain Hashim | Building SundayBack1 ay önce

@startupideaspod love this approach. another thing i'd add is to actually run the workflow yourself. you'll spot inefficiencies others might miss.

nathanielwhite-joyal profil fotoğrafı
nathanielwhite-joyal1 ay önce

What questions do you ask in the interviews?

Gennaro profil fotoğrafı
Gennaro1 ay önce

Source?

Lucas Cooper-Bey profil fotoğrafı
Lucas Cooper-Bey1 ay önce

@vasuman Before you use ai? Thanks btw this is super helpful

Joe in black profil fotoğrafı
Joe in black1 ay önce

How do you do step 3 running processing agents?

景哥｜AI落地与智能体实践 profil fotoğrafı
景哥｜AI落地与智能体实践1 ay önce

很多企业自动化的第一步其实做反了。不是先问AI能替代谁，而是先把真实工作流跑出来。流程没看清，自动化只会把低效和循环一起放大。

vas profil fotoğrafı
vas1 ay önce

Sauce

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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.
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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.

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This is how we build an agentic workflow. We put each step into 4 buckets, and I was surprised how few were agentic. - Delete. After AI, this step is not necessary. - Plain code. The step follows rules and needs no judgment, for example a simple API call. - Agentic. The step needs judgment. - Humans in the loop. The step has the highest risk. Building a quote is an agentic task The agent must know who the customer is, what it is worth to us, and what resources to give it. Humans keep approval, negotiation, signing, and payment submission. These are the "things that you really cannot afford to get wrong." Before you give a step to an AI agent, put the step in one of the 4 buckets.
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This is how we build an agentic workflow. We put each step into 4 buckets, and I was surprised how few were agentic. - Delete. After AI, this step is not necessary. - Plain code. The step follows rules and needs no judgment, for example a simple API call. - Agentic. The step needs judgment. - Humans in the loop. The step has the highest risk. Building a quote is an agentic task The agent must know who the customer is, what it is worth to us, and what resources to give it. Humans keep approval, negotiation, signing, and payment submission. These are the "things that you really cannot afford to get wrong." Before you give a step to an AI agent, put the step in one of the 4 buckets.

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Before we automate a workflow, we always audit the client's current process. This client used 17 steps to pay one invoice. For them, that was a simple workflow. The audit took 2 to 3 weeks of interviews and process mining. After the redesign: - 17 steps to 7 - 24 days of cycle time to 6 - 6 exception loops to 1 - 18% straight-through rate to 87% - $31 per invoice to $6 At 18%, most invoices went through an exception route. We fixed that with process reengineering. Agents were only one part of it. Show the client the full mess first. It breaks their heart, but they need it.

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This is how we streamline AI implementation across 26 companies in a PE portfolio. Each company has 10 departments, and each department has 10 workflows. If you do them one at a time, you need "50,000 forward deployed engineers across three years." Our method is to group the companies by system of record. For finance, the 5 companies on NetSuite are one group. The 4 companies on Dynamics are a different group. Then you find what NetSuite can do and what it cannot do. You build only for the gaps. In one group, the processes are still different. The 5 NetSuite companies used 12, 9, 15, 18 and 13 steps for their finance process. The target is 6 steps, with agents at specific points. You will not often make all 5 exactly equal. You can come close if you map each process with the stakeholders before you change it. A single company or 26, sort the work by its system before you build.

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Andrew Ng built agentic knowledge graph that runs agents loops from scratch: his agents searched thousands of tools through the graph, found the "right" one by meaning, and called it agent efficiency increased by 90% here's how: step 1 → embed every tool, search by meaning - not just keywords step 2 → but "similar" ≠ "correct" - it grabs the wrong one, skips the step before it step 3 → map tools as a graph - nodes are tools, edges are what runs before what step 4 → retrieve the path, not one tool - every tool the task needs, in order step 5 → bake the process into the graph - the sequence becomes data, not a guess most agents fail here and no one knows why - 1-hour brilliant course about it watch & bookmark - then read full course about graph engineering ↓
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Andrew Ng built agentic knowledge graph that runs agents loops from scratch: his agents searched thousands of tools through the graph, found the "right" one by meaning, and called it agent efficiency increased by 90% here's how: step 1 → embed every tool, search by meaning - not just keywords step 2 → but "similar" ≠ "correct" - it grabs the wrong one, skips the step before it step 3 → map tools as a graph - nodes are tools, edges are what runs before what step 4 → retrieve the path, not one tool - every tool the task needs, in order step 5 → bake the process into the graph - the sequence becomes data, not a guess most agents fail here and no one knows why - 1-hour brilliant course about it watch & bookmark - then read full course about graph engineering ↓

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ᴛʀᴀᴄᴇʀ

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My new favorite way to build with agents is to organize them into a factory. This is the 4-step workflow: 1) Station. - A custom order gets its own station, so the order does not interfere with the rest of production. - In software, this station is a branch or a work tree. 2) Assembly line. - The agent writes code, changes files, and adds structure. 3) Quality control. - Does it turn on? - Does it fit? - Does it break under pressure? - In software, you run tests, open a preview, and read the logs and screenshots. 4) Shipping. - The product goes out the door. - You merge, deploy the PR, and write release notes. If a product fails quality control, you send feedback to the product team. Then you do the loop again. Write each step of your agent workflow as a factory job.

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Kaito

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PhD Students – How to automatically identify 90% of the issues in your research paper before you submit it to a journal? This is possible through manual or automated paper review. First, let’s understand the following. 𝐖𝐡𝐚𝐭 𝐢𝐬 𝐚 𝐩𝐚𝐩𝐞𝐫 𝐫𝐞𝐯𝐢𝐞𝐰? Paper review is a process in which subject matter experts evaluate your paper based on the following criteria: 1. Significance – Is this research important? 2. Novelty – Is this research new? 3. Methodology – Is this research carried out in the correct way? 4. Verifiability – Can other researchers verify this research? 5. Presentation – Is the research presented in the right way? 𝐖𝐡𝐲 𝐭𝐨 𝐡𝐚𝐯𝐞 𝐲𝐨𝐮𝐫 𝐩𝐚𝐩𝐞𝐫 𝐫𝐞𝐯𝐢𝐞𝐰𝐞𝐝 𝐛𝐞𝐟𝐨𝐫𝐞 𝐬𝐮𝐛𝐦𝐢𝐬𝐬𝐢𝐨𝐧? ➟ Identify the critical issues in your paper ➟ Fix those issues to increase the chances of your paper acceptance 𝐇𝐨𝐰 𝐭𝐨 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐞 “𝐬𝐞𝐥𝐟-𝐫𝐞𝐯𝐢𝐞𝐰” 𝐨𝐟 𝐲𝐨𝐮𝐫 𝐩𝐚𝐩𝐞𝐫? Paperpal just launched an amazing feature – AI Review. Using this feature, you can get instant self-feedback. This feature will help you in the following ways. ➝ Check for gaps in your logic ➝ Get feedback on the structure and flow of your writing ➝ Review your research questions ➝ Identify opportunities to strengthen your paper ➝ Increase the chances of your paper acceptance Here is a step-by-step process for using AI Review feature. Step 1: Go to and login. Step 2: Open an existing document or make a new document Step 3: Go to the right-side bar and click on checks | AI Review. Step 4: For this feature to work there should be more than 150 words. Step 5: Copy and paste your paper. Step 6: Now go to the right side and check the prompts Step 7: With these prompts, you will evaluate your paper. Step 8: You will find various prompts e.g., suggest writing feedback, check flow and structure etc. Step 9: You can select a prompt from the existing prompts or write your custom prompt and execute Step 10: Paperpal will generate feedback as per the prompt. Step 11: Read through the feedback and save it for further use. Use other specific prompts for tailored feedback. Step 12: This way you can evaluate various aspects of your paper yourself. This is a very customized and efficient way of automatically reviewing your paper. You can also go one step further to work on the feedback and improve your paper based on suggestions. Please note that AI Review feature does not replace human or expert reviewers in any way. This feature only aims to provide you with quick self-feedback. Try the AI Review feature of Paperpal. Paperpal link:

Faheem Ullah

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I'm making $8,000 a month building Claude skills for other people's businesses. I call it the AI Concierge. I have 5 clients paying $1,200 to $2,000 a month each. My effective rate is about $1,200 an hour. Every engagement runs on one framework I call AOA: Audit, Optimize, Automate. Here's the entire model: 1) Most people skip straight to Automate. That's the fun part. It's also how you end up automating a broken process. 2) Audit first. The client shares their screen and walks the process in painful detail while I take notes in a Google Doc and interrupt with a million questions. 3) Capture the plumbing, not just the steps. Who owns each step, which tool it runs in, where the data lives, and whether that tool can connect to Claude. 4) Hand the audit doc to Claude and ask it to find a better way. Then push back. Claude's first synopsis is usually partly wrong, and the client catches it. 5) Cut the fat. Most processes are 15 steps and only need to be 11. Most clients use 3 tools where 2 would do. 6) One home per fact. One client stored customer data in ClickUp and the CRM. We killed the ClickUp copy. Duplicates are just human error waiting to happen. 7) Have Claude write the build plan. It splits the process into skills, scaffolds each one, and lists next steps. Then you lock the doc. 8) A skill is a markdown file plus reference files. A reference file is just an example of what good looks like. Claude builds all of it. 9) Build one skill at a time from the build plan. If the audit was done right, Claude one shots it. Test on a real run, let Claude interview you, iterate. Version 2 is usually the keeper. 10) Draft first, never auto send. A speed to lead skill drafts replies for review on day one. It earns auto send later. Two things that make this work: 1) Audit and Optimize are 80% of the work. Automate is the 20%. You have to earn the right to build. 2) Skills do one thing well. Split at every point a human or a wait interrupts the chain, then let an orchestrator run them back to back. Full step-by-step playbook for starting a profitable AI Concierge business (free): Full breakdown below. Enjoy!

Corey Ganim

71,752 görüntüleme • 1 ay önce

Demis Hassabis, CEO of Google DeepMind: "Agents are the first step to AGI, and we're just getting started. One engineer with agents already does what took 1000 back in the 2000s." This is the shift you can't ignore anymore, unless you want to be left behind. 40 minutes of pure insight from a Nobel laureate on where AI is really headed. Watch it, then read the step by step guide for beginners on building agents below.
39:05

Demis Hassabis, CEO of Google DeepMind: "Agents are the first step to AGI, and we're just getting started. One engineer with agents already does what took 1000 back in the 2000s." This is the shift you can't ignore anymore, unless you want to be left behind. 40 minutes of pure insight from a Nobel laureate on where AI is really headed. Watch it, then read the step by step guide for beginners on building agents below.

Anatoli Kopadze

34,739 görüntüleme • 3 ay önce

Many of us know this already but how do we get the sheep to understand and see what they are actually doing in their efforts of trying to take control? This video points out what they are doing and is straight to the point. Step one: train the people only to consume. Step two: infiltrate the adults on the news. Step three: indoctrinate the children through the schools and the music and the apps on the phones that they use. Step four: separate the right from the left. Step five: separate the white from the black. Step six: separate the rich from the poor. Use religion and equality to separate them more. Step seven: fabricate a problem made of lies. Step eight: put it on the news every night. Step nine: when people start to fight and divide take control, this is called situational design.
0:30

Many of us know this already but how do we get the sheep to understand and see what they are actually doing in their efforts of trying to take control? This video points out what they are doing and is straight to the point. Step one: train the people only to consume. Step two: infiltrate the adults on the news. Step three: indoctrinate the children through the schools and the music and the apps on the phones that they use. Step four: separate the right from the left. Step five: separate the white from the black. Step six: separate the rich from the poor. Use religion and equality to separate them more. Step seven: fabricate a problem made of lies. Step eight: put it on the news every night. Step nine: when people start to fight and divide take control, this is called situational design.

🌸𝓐𝓾𝓭𝓻𝓮𝔂🌸

10,822 görüntüleme • 5 ay önce

Anthropic hired this engineer at $250k-$600k/year because he can built projects with zero lines of code - in Claude chat: in this 30-min workshop he showed exactly how, using loops - from 0% to 100% here's workflow, step by step: step 1 → set your rules once at the top: "no preamble, use artifacts, you're a React expert" - every reply after that stays on rails step 2 → load the docs plus a random Medium article about the API - the human explanation teaches it more than the reference step 3 → wrap your ask in XML tags and tell it to ask you questions first. Answer 5, and the scope is locked before a single file exists step 4 → now run the loop: screenshot the broken UI, paste it back, let it fix, screenshot again - each pass gets closer - this is the agentic loop in its simplest form step 5 → push to GitHub, then paste the repo link in - every next loop iteration builds on working code, not chat history most people never did this - it pays for itself on day one watch & bookmark - then read how to get Claude Certified Architect in the article below ↓
26:23

Anthropic hired this engineer at $250k-$600k/year because he can built projects with zero lines of code - in Claude chat: in this 30-min workshop he showed exactly how, using loops - from 0% to 100% here's workflow, step by step: step 1 → set your rules once at the top: "no preamble, use artifacts, you're a React expert" - every reply after that stays on rails step 2 → load the docs plus a random Medium article about the API - the human explanation teaches it more than the reference step 3 → wrap your ask in XML tags and tell it to ask you questions first. Answer 5, and the scope is locked before a single file exists step 4 → now run the loop: screenshot the broken UI, paste it back, let it fix, screenshot again - each pass gets closer - this is the agentic loop in its simplest form step 5 → push to GitHub, then paste the repo link in - every next loop iteration builds on working code, not chat history most people never did this - it pays for itself on day one watch & bookmark - then read how to get Claude Certified Architect in the article below ↓

codila

293,808 görüntüleme • 3 ay önce

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
10:14

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) 🧃

21,538 görüntüleme • 1 yıl önce