DEV Community: Adiela Sam Ogide

Architecting Sovira: 4 Core Features Powering the Next-Gen AI SEO Ecosystem

Adiela Sam Ogide — Fri, 11 Sep 2026 13:04:51 +0000

Building a comprehensive SaaS product requires bridging the gap between raw data and actionable business insights. At Dorvas Technologies, I have been working as a full-stack developer and data analyst to build Sovira, an application designed to be the premium ecosystem for professional marketers. Positioned as the world's most powerful AI Search and Content Platform, Sovira integrates technical SEO analytics with advanced AI generation.

For developers, agency owners, and technical marketers looking to streamline their workflows, here is a deep dive into four critical features we engineered into Sovira and the direct benefits they deliver to our users.

AI Site Audit and Semantic SEO Research Technical SEO can be incredibly tedious when manually parsing through hundreds of pages. We engineered the AI Site Audit feature to automate this heavy lifting, focusing on generating high-converting audits rather than just returning basic error codes.

The Benefit: Marketing teams can instantly identify critical structural issues, site speed bottlenecks, and semantic SEO gaps. This transforms raw crawling data into a prioritized roadmap, allowing agencies to provide immediate, high-value consulting to their clients without spending hours on manual research.

Localized Rank Tracker Tracking global keyword positioning is no longer sufficient for businesses targeting specific demographics. To solve this, Sovira includes a dedicated Rank Tracker built specifically for localized rank tracking.

The Benefit: Businesses and SEO professionals can monitor how their content performs down to specific regions or cities. This granular data allows users to pivot their content strategies accurately, ensuring they dominate local search Engine Results Pages and capture highly qualified, geographically relevant traffic.

Content AI paired with Stealth Humanizer Generative AI is a standard expectation in modern SaaS, but the output is often generic or easily flagged by search engine algorithms. Sovira features a robust Content AI module paired with a specialized Stealth Humanizer and AI Text Humanizer.

The Benefit: Users can scale their content production rapidly while ensuring the output remains authentic, engaging, and undetectable as purely machine-generated. This protects websites from potential algorithmic penalties while maintaining a natural, human-centric brand voice that actually converts readers into customers.

Installable App with Offline Access Web-based SaaS tools frequently suffer from browser resource constraints or connectivity drops. To enhance the user experience, we built an installable Sovira AI application that provides offline access and faster performance.

The Benefit: Power users and enterprise teams get a dedicated, high-performance desktop experience. By reducing reliance on constant network connectivity for core operations, users experience fewer interruptions and significantly faster load times when manipulating large SEO datasets or generating extensive content clusters.

Building complex, data-heavy applications like Sovira requires a deep understanding of database architecture, API integration, and front-end performance optimization. If your team is looking to build scalable SaaS products, integrate advanced AI workflows, or if you need a technical partner to automate your business operations, I am currently open to remote contracts and strategic partnerships. Let’s connect and discuss how we can engineer your next big solution.

How I Built an Automated AI Career Coach using Make.com

Adiela Sam Ogide — Fri, 11 Sep 2026 12:25:57 +0000

As businesses and educational programs scale, evaluating user progress manually becomes a massive bottleneck. Recently, I built an automated workflow to solve this exact problem: a system that instantly analyzes student progress reports using AI and logs customized feedback back into a database—with zero human intervention.

In this post, I will walk you through how I integrated Google Forms, Make.com, Google Gemini AI, and Google Sheets to create an automated AI Career Coach. Whether you want to build this yourself or are looking for an automation expert to streamline your business, this guide will show you what’s possible.

The Tech Stack
Data Entry: Google Forms

Database: Google Sheets

Automation Engine: Make.com

AI Engine: Google Gemini (Gemini 3.8 Flash)

The Use Case
Students in a training program fill out a weekly progress form containing their Name, Career Goal, and Progress So Far.
Instead of an instructor reading each submission, the data is automatically sent to Google Gemini. Gemini acts as an expert career coach, evaluates the student's progress, assigns a status (On Track / Needs Review / Action Required), and writes a summary. Finally, Make.com updates the exact row in Google Sheets with the AI's assessment.

Step-by-Step Architecture
Step 1: The Trigger (Catching the Data)
The first step in Make.com is setting up the trigger.
Pro-Tip: Initially, I used the standard Google Forms "Watch Responses" trigger. However, this trigger only grabs the form answers and doesn't know which row the data lands on in Google Sheets.

To fix this, I used the legacy "Watch Responses in Google Sheets" module. This allows Make to monitor the linked spreadsheet directly, catching the form answers and generating a crucial Row number data variable needed for the final step.

Step 2: Integrating Google Gemini AI
Next, I connected the Google Gemini AI module (Generate a response). I mapped the dynamic data from the form into a custom prompt.

Here is the exact prompt structure I used:
You are an expert student career coach and evaluator.

Evaluate this student's progress update:

Student Name: {{Full Name}}
Career Goal: {{Ultimate Career Goal}}
Progress So Far: {{Progress Update}}

Provide a concise assessment in exactly this format:
Status: [Choose one: On Track / Needs Review / Action Required]
Summary: [1-2 sentences evaluating their progress towards their goal and any suggested next steps.]

The Result
Once the automation schedule is turned on, the magic happens seamlessly. A student submits a form, and within seconds, their specific row in Google Sheets is updated with a highly tailored, actionable AI evaluation.

This workflow eliminates hours of manual review and provides immediate value to the end user.

Let's Work Together!
Building this pipeline was incredibly rewarding. Automating data entry, integrating AI into daily workflows, and connecting different apps via APIs is where I thrive.

If your business is stuck doing repetitive manual tasks, wasting hours on data entry, or you want to integrate powerful AI models like Gemini or OpenAI into your systems—I can help.

Let's automate your business.
Drop a comment below, or reach out to me directly to discuss how we can build custom workflows that save you time and scale your operations.

Next.js + Supabase: The Free-Tier Stack I Use to Ship Client Sites Fast

Adiela Sam Ogide — Fri, 11 Sep 2026 07:36:18 +0000

I ship client sites fast on a simple free-tier stack: Next.js for the app, Supabase for database/auth/storage (a real Postgres database with a generous free tier — 500MB DB, 1GB storage, 50K monthly active users — instead of hand-rolling my own server and auth system), and Vercel for git-push deploys with automatic preview URLs I send straight to clients for review; the one thing most "free-tier stack" posts skip is that Vercel's Hobby plan is licensed for non-commercial use only, so I build and stage for free but move to Vercel Pro ($20/month) the moment a client site goes live and starts taking payments, and I set an uptime ping on Supabase so a quiet review week doesn't trigger their 7-day auto-pause.
I wrote this up because I kept seeing "free-tier stack" posts that skip the part where a client site actually going live changes the terms — and I'd rather share the version that would've saved me a conversation with a client than the version that looks tidier on paper.