You will get Make.com Automation: Connect, Automate, Deliver Results


Project details
Unlock the power of Make.com with automations that connect your SaaS apps, streamline operations, and drive business impact. With 8+ years of enterprise and startup experience, I engineer production-ready scenarios tailored for your stack—Slack, Gmail, HubSpot, Notion, Stripe, APIs, and more. Every workflow is professionally mapped, error-proofed, and documented for reliability. My service includes modular logic, custom functions, test data, and Loom walkthroughs, ensuring you achieve outcome-based integration and measurable efficiency gains. Choose this project if you need robust business flows, instant notifications, or AI-powered enhancements that deliver results on time and scale with your growth. Quality, security, and business value are my priority.
AI Algorithms
Large Language Model, Multilayer Perceptron, Multimodal Large Language ModelAI Applications
AI Chatbot, AI Mobile App Development, AI Text-to-Speech, AIOps, Automatic Speech Recognition, Natural Language UnderstandingAI Development Language
PythonAI Tools
GitHub Copilot, Hugging FaceAI Models
ChatGPTWhat's included
| Service Tiers |
Starter
$149
|
Standard
$349
|
Advanced
$749
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 7 days |
Number of Revisions | 2 | 3 | 4 |
AI Model Integration | - | ||
Batch Normalization | - | - | - |
Database Integration | |||
Detailed Code Comments | |||
Image Upscaling | - | - | - |
MLOps | - | - | |
Model Deployment | - | ||
Model Documentation | |||
Model Monitoring | - | - | |
Model Testing & Optimization | - | - | |
Model Tuning | - | - | |
Natural Language Processing | - | ||
NLP Tokenization | - | - | |
Pre-Training | - | - | - |
Prompt Engineering | - | ||
Setup File | |||
Source Code |
About Niyati
AI Web Developer | Shopify, Webflow & n8n Integrations
Ambala, India - 3:36 pm local time
Short version (one-liner): I turn product ideas and messy workflows into production-grade websites, AI agents, and automation stacks that reduce manual work, lift conversions, and scale predictably — from Figma to Webflow/Shopify/Magento and from n8n to LLM-powered chatbots.
What I actually deliver (step-by-step, technical → business)
Each item below shows how I build it (technical steps) and what it buys you (business outcome).
1) Pixel-perfect Websites & Landing Pages (Figma → Webflow / HTML)
Technical: design audit → responsive Figma comps → componentized Webflow/CSS grid build → CMS models, SEO schema, performance budget, Lighthouse tuning.
Business: faster launch (weeks not months), consistent A/B testing, lower bounce & higher lead capture (real metrics to track).
2) E-commerce (Shopify / Magento 2 / Shopify Apps)
Technical: catalog modeling, product/variant APIs, headless storefront options, cart & checkout UX, custom Shopify app or Magento module, payment gateway + webhooks, inventory sync.
Business: fewer checkout drop-offs, automated inventory/fulfillment sync, improved average order value via personalization.
3) AI Chatbots & Agent Development (AI Bot / AI Agent / AI App Dev)
Technical: intent analysis → knowledge architecture (RAG: embeddings + vector DB) → LLM selection (latency vs. accuracy) → prompt engineering, tool connectors (search, calendar, DB) → monitoring & safety controls.
Business: automated 1st-touch support, faster lead qualification, 24/7 triage that captures intents and feeds CRM — less time lost to repetitive Qs.
4) Automation & Integrations (n8n / Zapier / custom)
Technical: idempotent webhook design → auth & secrets handling → retry logic, rate limits, queueing → observability (logs + alerting) → low-code orchestration in n8n or custom lambda.
Business: saves manual hours, eliminates sync errors, shortens sales cycles (and tightens data consistency across systems).
5) Design + Content Tooling (Figma + Canva → deliverables)
Technical: design systems, reusable components, export pipelines, image optimization, content templates for CMS.
Business: faster marketing iterations, consistent brand, easier ad creative refreshes.
6) Custom Apps & Backends
Technical: REST/GraphQL APIs, auth (JWT/OAuth), DB schema, CI/CD, containerization, basic infra on cloud of choice.
Business: robust, auditable, maintainable systems that reduce technical debt and make future features cheaper.
My process (no fluff — a practical sprint)
Discover: data + goals + KPIs.
Architect: ER diagrams, API contracts, cost/latency tradeoffs.
Build: componentized, test coverage, automation-first.
Validate: staged rollout, telemetry, KPI tracking.
Iterate: A/B, feedback loop, SLA handoff.
Tech stack highlights (what I use and why it matters)
Frontend: Figma → Webflow / React (fast iterations; designer-friendly handoffs).
E-commerce: Shopify (SaaS speed) / Magento2 (custom catalog power).
Automation: n8n / Zapier (replaceable orchestration layer).
AI: embeddings + vector DB + LLMs (RAG for factual answers; fine-tune where latency allows).
Ops: CI/CD, logs, monitored webhooks, backups.
Business outcomes I guarantee you’ll care about
Time-to-market cut by 30–60% with componentized builds.
Manual workload cut (automation) — typical projects save 10–40 hrs/week.
Conversion-focused: measurable lift via A/B and analytics; I build tracking first.
Predictable maintenance: clear docs, runbooks, and observability.
Why work with me (the blunt truth)
I don’t sell templates. I deliver systems: reusable components, secure integrations, and AI that actually helps customers instead of hallucinating. I’m pragmatic, fast, and plainspoken — prefer ship + learn over perfect paralysis.
If you want one more thing: I’ll map your current stack to a prioritized roadmap with estimated hours and business impact — a single page, no fluff, showing ROI per feature.
Let’s convert your skill tags into predictable outcomes.
Steps for completing your project
After purchasing the project, send requirements so Niyati can start the project.
Delivery time starts when Niyati receives requirements from you.
Niyati works on your project following the steps below.
Revisions may occur after the delivery date.
Design and blueprint scenario
Analyze your requirements, outline integrations, and draft a detailed workflow map for review.
Build, test, and deploy automation
Develop the scenario in Make.com, connect all services, test for edge cases, and deliver a launch-ready solution with clear documentation.
