Hey I am Ayan, I am an expert ai automator. When everyone including some so called ai automation agencies delivers a shit by just replicating their existing automations, I make personalised automations with relevant skills, and that at the same price or less(For now it's free). In case of comparing me with others, not only my automations are personalised but they all also comes with personalised dashboards and custom picked matrices also. The reason behind it being free is simple, I want some quality testimonials. DM or click on the link to schedule a meeting with me. Schedule a meeting :- https://calendly.com/ayannaayak/30min

I’ve been experimenting with a small prototype called Adapt. The problem I’m testing is this: Most planners work fine while the plan goes perfectly. But once something unexpected happens — a function, extra work, missed study session, low-energy day — you usually have to reorganize everything manually. Adapt tries to handle that recovery automatically. For example: - a missed task can move to another open slot - a larger task can split across smaller available slots - lower-priority work can defer if the week is overloaded - partial work can keep the completed portion and reschedule only what remains - you can type something like “I have a function tonight” and it adjusts the plan around that change I’m not selling anything yet. This is an early prototype and I’m trying to find out whether the underlying problem is actually worth solving. I’d especially like answers to these: 1. When your weekly plan gets disrupted, what do you normally do now? 2. Is manually reorganizing the remaining work actually annoying enough that you would want help with it? I’m more interested in criticism / “I wouldn’t use this because…” than encouragement. The prototype is live now. If anyone here is willing to test it for 5–10 minutes and give me brutally honest feedback, I’d really appreciate it.

Over the past few weeks, I’ve been focusing on learning by actually building instead of just watching more courses. So far, I’ve completed two portfolio projects: 1. Bookstore Support Automation — n8n + Supabase + Vector Search I built a support workflow that receives customer questions, uses embeddings and semantic search to find the closest approved question in a Supabase/pgvector knowledge base, checks a similarity threshold, retrieves the stored answer, and handles fallback cases safely. Building it taught me a lot about: - n8n workflows - Webhooks and APIs - JSON and data mapping - Embeddings and vector search - Supabase / PostgreSQL / pgvector - Thresholds and fallback logic - Debugging integrations - Logging and testing workflows 2. Event Services Lead Qualification & CRM Automation — GoHighLevel For the second project, I focused more on the business side of automation. I built a system for an event services business that captures incoming leads, collects their event information, applies qualification rules, creates and manages opportunities in the CRM pipeline, adds tags, creates follow-up tasks, sends internal notifications, and updates the opportunity as the lead moves through the process. This project helped me understand much more about: - CRM automation - Lead qualification - Pipeline and opportunity management - Business rules - Follow-up workflows - Tasks, tags, and internal notifications - Designing automation around an actual business process rather than just connecting tools I’m happy with how much I’ve learned from building, debugging, testing, and documenting these systems. But there’s one part I haven’t figured out yet: Getting my first real client. I don’t have clients yet, and I’m trying to understand how to make the jump from “I can build these systems” to actually getting conversations with real businesses and convincing someone to trust me with their problem when I’m still at the beginning. For those of you who started from a similar position:

I’m currently working on a Local Service-Based Business Market Discovery Survey, and I’d love to tap into the collective experience in this community before I take it into the real world. My goal is simple: Find the problems businesses are actually experiencing → understand what they’re already doing → identify where AI/automation could genuinely create value. I’m planning to survey service-based businesses in areas such as: • Landscaping / Home Services • Plumbing • Healthcare / Medical / Dental I’m exploring three potential areas: 1. Content Creation 2. Lead Generation 3. Online Reputation But I don’t want to go into the market assuming these are the problems businesses care about. I want the businesses themselves to tell me. So I’m asking for your experience and perspective: 1. If you were designing a survey to uncover the REAL problems a service-based business is experiencing, what questions would you absolutely include? 2. What questions would you avoid because they might lead the business toward a particular answer? 3. What would you ask to determine whether a business actually has a lead-generation problem? 4. What would you ask to determine whether content creation is genuinely a problem—or simply something we assume they need? 5. What questions would uncover whether online reputation/reviews are actually affecting the business? 6. Would you use mostly multiple-choice questions, short-answer questions, or a combination? Why? 7. If you could only ask 10 questions, how would you structure them? 8. What answers or patterns would you pay the most attention to when analyzing the results? 9. What would indicate that a problem is painful or valuable enough that a business might actually pay to solve it? 10. If you were in my position, what is the ONE thing you would make sure this survey accomplishes before building or selling anything? I’m trying to approach this market-first, not product-first. I don’t want to build something and then go looking for people who need it.

I am excited to share that I built an AI workflow of fully automated lead generation system as few people suggested me the ideas of real time projects. How the system Is structured: 1. Capture lead by trigger: Form submission triggers the sequence. 2. AI Qualification agent: Passes lead inputs to an AI model to score quality and create an executive lead summary. 3. Data Cleansing: Standardizes raw model outputs using custom JavaScript to normalize output before routing. 4. Branching Logic and Multi-Channel operation for Path A and B Path A - - Qualified Leads: logs lead data into Google Sheets. - Posts structured alerts to Slack by lead type into the dedicated channels. - Sends a personalized initial outreach email for follow up and enters a listener state by wait node for response. it is further divided into the 2 branches ("a" and "b") (a) If responded then goes to Response branch: Automatically schedules a meeting via Google Calendar, notifies the internal team on Discord for Confirmed lead, and dispatches a confirmation email via Gmail of lead person. (b) If no response then goes to No Response branch: Loops through up to 2 automated follow-up reminders per 24 hours sent to the lead. If the lead remains unresponsive after max retries, it alerts team members on Slack for manual intervention. Path B - Disqualified Leads: - Automatically logs lead details to Google Sheets - Archives the entry to a dedicated Slack channel to disqualified lead. Use case: 1. Lead creation 2. Nurturing 3. Lead conversion I am from a developer background, so I don't know much about sales and lead, but as per their suggestions, and taking some basic knowledge about lead I built this workflow, It may be incomplete or required some fixes and tuning, so please don't mind. But from my side it be more than my expectation.