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AI-Ops / Vibe Coding
Where logic meets intuition, and pipelines meet poetry — we build intelligent systems designed to scale without breaking.
We don’t build for show, we build for substance.
At The Little Design Group, we don’t “do AI”, we are architects of ecosystems.
Our approach to AI DevOps is rooted in intention, automation, and systemic clarity. Every deployment we craft is built to serve people first, with clean code, transparent logic, and security embedded at every layer.
Albeit already a cliche, the term Vibe Coding, is a method where creative logic, aesthetic precision, and infrastructure discipline work in harmony with the use of ai engins to assist in deploying prototypes faster than ever before..
- n8n, Supabase, Ollama, Docker, Grok
- OpenWebUI, LangChain, Grok, Pinecone, Weaviate
- Stripe, VoIP.ms, FreePBX, Mailgun
- Bare Metal Hosted GPU + full-stack DevSecOps monitoring
Scalable AI Pipelines
RAG workflows, vector databases, and LLM orchestration
Hosted or self-hosted model deployment (Ollama, LLaMA, DeepSeek, OpenWebUI)
Custom agents via n8n + OpenAI/Grok + Eleven Labs + VoIP + more
Infrastructure-Integrated DevOps
- Vultr, Cloudron, Docker, and Cloudflare-native infrastructure
Automated scaling, CI/CD, secure container orchestration
Infrastructure as code, built for versioned evolution
Secure by Default
Embedded threat detection (CrowdSec, Suricata)
AI prompt filtering, jailbreak protection, API hardening
Compliance-aware: GDPR, CCPA, HIPAA aligned architectures
Now is the time to bring your AI infrastructure in-house, for control, speed, and long-term security.
Ai powered by TheDesign Group
Speed & Latency
Hosting models locally allows for faster inference times, smoother workflows, and real-time responsiveness without relying on distant cloud nodes. For high-performance AI, edge computing wins every time.
→ Local = faster decisions, faster results.
Data Ownership & Privacy
When your data lives in the cloud, so does your risk. Local infrastructure ensures complete control over your datasets, model behavior, and usage logs, making it easier to comply with regulations like GDPR, HIPAA, and CCPA. You can’t secure what you don’t fully own.
→ Local = control, compliance, and peace of mind.
Technical support
Public cloud bills scale unpredictably with inference charges, bandwidth, storage, uptime. Our servers and providers, you pay a very preditible rate and can scale as you need. Maintain and retain performance indefinitely... Especially for businesses running frequent or continuous AI tasks, the long-term ROI of a blended cloud and local infrastructure outpaces renting from multiple service providers at the same time.
→ Local = predictable costs and compounding value.
Ai featured services & What We Build
“We believe in building AI solutions that elevate industries through precision, automation, and insight.”
- Intelligence Built with Purpose
- Design That Drives Systems
- Infrastructure for Scalable Innovation
The Little Design Group is trusted by forward-thinking teams building the next generation of intelligent systems.
Great systems start with great conversations. If you’re building with purpose, let’s talk.
Apply AI to your business with purpose, precision, and awareness.
How much efficiency can AI really create for my business?
AI can increase operational efficiency by 40–70% depending on the industry and task complexity.
For example, McKinsey’s global AI study (2020) found that early AI adopters reported time savings of 20–25% on average in functions like customer service, logistics, and finance. When applied to internal workflows (like data classification, scheduling, or reporting), AI agents can eliminate redundant tasks entirely — freeing your team to focus on higher-value work.
Can AI actually improve the quality of my business decisions?
Yes — and significantly. AI systems process large datasets faster than any human team, identifying patterns and anomalies in real time. For example, AI can flag sales trends, recommend inventory shifts, or monitor market sentiment before your team even reviews a report.
In healthcare and finance, AI-assisted decision-making has shown improvements of 15–20% in accuracy over human-only models.
Use case: Retail brands like Stitch Fix and Zara use AI to drive product decisions in near real time.
Source: Harvard Business Review: AI Can Help You Make Better Decisions
Does using AI help reduce costs?Absolutely. One of AI’s most direct returns is cost reduction through automation, resource optimization, and infrastructure scaling. By shifting from manual to AI-driven workflows, businesses can reduce labor expenses, cloud computing waste, and customer service costs. A Gartner report notes that AI in customer service can reduce handling time by up to 30% and labor costs by 25%. Example: Local hosting of AI agents (like we offer) also cuts recurring cloud bills, saving thousands annually. Source: Gartner: AI Cost Benefits in Business Operations
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How does AI enhance the customer experience?
AI enables real-time personalization — serving users content, products, or support tailored to their needs.
Intelligent chatbots, recommendation engines, and sentiment-aware messaging systems can increase engagement and conversions by 10–30%, depending on industry.
AI can also monitor behavior across touchpoints (email, web, voice), then adjust messaging or offers automatically.
Example: Netflix credits its AI engine for reducing churn and increasing watch time per session.
Source: Forbes: How AI Personalization Is Transforming Customer Experience
Vibe Coding & Prototyping — Guided Estimator
Vibe Coding = super‑fast, throwaway builds to test the “feel” of an idea in 1–3 days. Start simple, then expand to richer prototypes as needed.
Step A • Delivery Level
Beta adds hardening, QA, and senior review.
Step 1 • Pick a Starting Point
Step 2 • Prototype Type
Step 3 • Platforms / AI Ecosystem
Step 3b • Advanced • Data & Infrastructure
Includes schema scaffolding for prototypes (not full production hardening).
Monthly hosting/compute is estimated; build cost is one‑time.
Step 4 • Quick Assumptions
Adds 2–6h depending on screens.
Adds ~6h more.
Adds ~10h total extras.
Step 5 • Your Estimate
Estimated Range$0 – $0
Total Estimated Hours0
Rough Timeline0–0 days
Weighted Avg Rate$0
| Role | Rate | Mix % | Hours | Cost |
|---|---|---|---|---|
| Totals |
Platforms Selected1
DB ChoiceSupabase
Compliance Flags—
Monthly Hosting (est.)$0
Pricing Examples
Foundational AI Solutions
AI Chatbot Development — $1,500–$3,500 · Hours: 20–50
Market: $2k–$10k custom builds; SaaS bots $50–$500/mo.
AI Content Assistants — $750–$2,500 · Hours: 12–30
Market: Jasper.ai $49–$125/mo; agencies $1.5k–$5k.
AI Voice Agent (Basic) — $2,000–$5,000 · Hours: 25–60
Market: Twilio/AI call agents $1.5k–$8k
AI Analytics Dashboard — $3,000–$7,500 · Hours: 40–90
Market: BI dashboards $5k–$15k.
Business Automation Services
Workflow Automation — $5,000–$15,000/project · Hours: 60–150
Market: Zapier $2k–$8k; custom n8n/API $6k–$20k.
Sales & Marketing Automation — $7,500–$20,000/project · Hours: 80–200
Market: HubSpot/SFDC setups $5k–$18k+.
E-Commerce Automation — $10,000–$25,000/project · Hours: 100–250
Market: Shopify/Woo builds $8k–$30k.
Logistics & Compliance Automation — $7,500–$20,000/project · Hours: 90–200
Market: Shipping/ShipCompliant $8k–$25k.
AI-Powered Support Systems — $15,000–$35,000 · Hours: 180–350
Market: Enterprise AI helpdesks $20k–$50k+.
Backend DevOps & Infrastructure Services
Cloud Deployments — $7,500–$20,000 · Hours: 100–250
Market: Migrations $5k–$25k.
Containerization — $10,000–$30,000/project · Hours: 120–300
Market: Kubernetes $12k–$40k
CI/CD Pipeline Setup — $5,000–$15,000/project · Hours: 60–150
Market: $4k–$12k SMB; enterprise $25k.
Enterprise Scaling Systems — $20,000–$50,000 · Hours: 200–500
Market: Multi-region $25k–$75k
Database Operations — $5,000–$15,000/project · Hours: 60–140
Market: DBA $4k–$12k
Infrastructure Monitoring & Observability — $3,500–$12,000/project · Hours: 50–120
Market: Datadog/Grafana $4k–$15k.
AI DevOps & Research Services
Retrieval-Augmented Generation (RAG) Systems — $15,000–$40,000/project · Hours: 200–450
Market: $18k–$50k+.
Fine-Tuned AI Models — $25,000–$75,000+ · Hours: 300–800
Market: $20k–$100k+.
Private AI Server Deployment — $20,000–$50,000+ · Hours: 250–600
Market: $25k–$60k+.
Multi-Tenant AI Infrastructure — $50,000–$150,000/year · Hours: 500–1,000/yr
Market: $60k–$200k/yr.
Innovation Labs — $25,000–$100,000+ · Hours: 400–1,000
Market: $30k–$120k+.
MLOps (AI Lifecycle Automation) — $10,000–$30,000/project · Hours: 120–300
Market: $12k–$35k.
Support & Optimization Services
AI & Automation Monitoring — $2,500–$7,500/month · Hours: 25–60/mo
Market: $2k–$8k/mo.
DevOps Support (24/7) — $5,000–$15,000/month · Hours: 50–120/mo
Market: $6k–$20k/mo.
Optimization Sprints — $3,000–$10,000/project · Hours: 40–100
Market: $3k–$12k.
AI & API Security Hardening — $5,000–$20,000/project · Hours: 80–180
Market: $6k–$25k.
Fractional Executive Leadership
Fractional CTO — $7,500–$20,000/month · Hours: 16–40/mo
Fractional CIO — $7,500–$20,000/month · Hours: 16–40/mo
Fractional Chief AI Officer (CAIO) — $10,000–$25,000/month Hours: 20–50/mo
Fractional Head of Automation — $5,000–$15,000/month · Hours: 12–36/mo
Retainers & Packages
Startup AI Retainer — $3,000–$7,500/month · Hours: 30–70/mo
Growth AI & DevOps Retainer — $10,000–$25,000/month · Hours: 100–250/mo
Enterprise AI & DevOps Retainer — $50,000+/month · Hours: 300–800+/mo
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