Nederlandse vertaling in voorbereiding. Voor nu toont deze site de Engelse versie.
30+ public repos · 42 live client sites · open-source

We build AI systems
that actually work.

A 2-person engineering studio in Paraguay shipping production code across 6 capability tracks — websites, multi-tenant SaaS, AI agents, MCP servers, automation, and satellite-to-3D visualizations.

Built in public. Verified by GitHub.

30+
Public repos on GitHub
42
Client sites live on our VPS fleet
50,000+
Paraguay supermarket products indexed
20
Published agentic design patterns
4
Languages (es / en / nl / pt)
30+
Domains under management

What we do

Six capability tracks, all backed by public proof on GitHub.

Web & SaaS

Multi-tenant platforms, vertical SaaS, e-commerce. One codebase serves many tenants.

paragu-ai-builder, Vete, Taller_Ocampos, 28 live client sites

AI Agents

Custom multi-agent systems, RAG, LLM orchestration, MCP servers.

agentic-schemas (20 patterns, MIT), telescope-ai (real MCP server)

WhatsApp + Customer Engagement

Lead capture, customer service, booking, order-taking AI agents.

28 client sites integrate WhatsApp CTAs, evolution_ on VPS

3D & Satellite

Photorealistic renders from real-world satellite + elevation data.

site-data-acquisition, satellite-to-blender-pipeline, blender-mcp

Automation & Data

n8n workflows, Python scripts, document processing, web scraping, ETL.

paraguay-supermercados (50K+ products), work-hours-automated-reports

Training & Strategy

Corporate AI workshops, certifications, free audits, 30-day kickstart.

Courses-Content, courses-website, free 30-min strategy call

Why teams choose us

What makes our engagements different from the 20 other AI agencies we benchmarked against.

Built in public, not in private

Every claim on this site is verifiable on GitHub. Our build history, our decisions, our mistakes — all public. Compare that to the average AI consultancy that shows you NDAs, not code.

2-person founder team, not 50

You work directly with Ivan + Kyrian. No account managers, no offshore sub-teams, no junior rotators. The people who scope the work are the people who build it.

30-day kickstart, not 6-month onboarding

Our default engagement is a 30-Day AI Kickstart: 1 week audit, 2 weeks PoC, 1 week training. Most clients see production value in week 3. Compare to 6-month enterprise rollouts.

Open source everything we can

agentic-schemas (20 patterns, MIT), telescope-ai (MCP server), work-hours-automated-reports, courses-website, folyo — published so you can audit, fork, or self-host.

Transparent pricing, not discovery-first

Web dev at $50/hr. AI consulting at $100/session. Custom microservices at $80/hr. Every rate in our public rate card. No 'contact for a quote' on the basics.

Paraguay + LATAM + global

Built from Paraguay, serving clients in Mercosur, the EU (NL/BE/DE), and the US. The same site you're on is 4-locale (es/en/nl/pt). Multilingual isn't a feature we add — it's how we work.

How we work

4 phases. 30 days. 1 fixed-price engagement.

1

System audit & feasibility

Week 1

We map your workflows, interview your team, and identify the top 5-10 high-leverage automation candidates. We score each by ROI, technical feasibility, and political ease. Deliverable: 30-page engineering audit with prioritised roadmap.

2

Agent architecture design

Week 2

We design the agent architecture using our published 20-pattern framework. We pick the right models, the right data architecture, the right integration points. We prototype the core agent behavior with a real working slice. Deliverable: architecture blueprint + functional prototype.

3

Production deployment

Week 3-4

We deploy to your infrastructure (or ours) with proper observability, error handling, and a tested rollback path. We wire up your existing tools via MCP. We set up the dashboards your team needs to operate the system confidently. Deliverable: production-ready system with full source code handoff.

4

Ongoing support & optimisation

Month 2+

Optional 90-day engineering support to fine-tune the system based on real production data. Monthly performance reviews. Model fine-tuning recommendations as your usage patterns evolve. Deliverable: continuous engineering support.

What clients say

Anonymised feedback from 28 client engagements. Names available on request.

"Ivan delivered our migration plan in 3 days. Other agencies quoted 6 weeks. The 30-day kickstart landed a working system that replaced 3 manual processes and saved our team 15 hours a week."

Operations Director

PYME services company (Asunción) · Services

"We needed a custom AI agent for customer support in 4 languages. AI Whisperers built it, deployed it, and trained our team to operate it. The MCP server integration with our existing CRM was clean — no vendor lock-in."

CTO

Relocation services (Sonia's nexa) · Relocation

"The 20-pattern agentic schemas repo sold us. Most AI agencies sell frameworks they've never built. Ivan's are published, MIT-licensed, and visibly iterated on. We knew what we were getting."

Founder

Retail SaaS (anonymous) · Retail

"First agency that didn't try to lock us in. They hand over source code, document everything, and train our team. When the engagement ended, we had engineers who understood the system. That's rare."

Engineering Manager

Healthcare platform (Paraguay) · Healthcare

What we don't do (and why)

Honesty about our limits. If you need any of these, we'll refer you to someone who does it well.

Staff augmentation / body shops

We don't lend engineers to other teams. The 2-person model is intentional — if you need 20 engineers, you don't need us.

AI training data labeling at scale

We don't do data labeling work. Use Scale, Surge, or a LATAM BPO.

Cryptocurrency / DeFi / NFT projects

Out of scope. We focus on SMBs, public sector, and traditional industries.

Adult content / gambling

Hard no. We'll refer you to a specialist.

A few of the teams we've worked with

Real client work. Names available on request.

Taller Ocampos — Auto repair shop, 130 visits/monthNexa Paraguay — Multilingual relocation, 4-localeVete — Multi-tenant vet platform, 6 tenantsDra. Gabriella — Premium dental, Asunción (in preview)Paraguay Supermercados — 50K+ products, 5 chains42 public repos on GitHub28 production client sites in Docker Swarm4 languages served (es / en / nl / pt)

8 things we do that no other AI agency does

None of the 20 competitors we benchmarked against have these.

1

Satellite → 3D photorealistic render pipeline

We turn a lat/lon into a photorealistic 3D render using free public data (DEM, Sentinel-2, OSM, hillshade, NDVI). Headless Cycles on a lean VPS.

2

Open-source 20-pattern agentic AI framework

MIT-licensed, with an interactive D3.js knowledge graph. Covers prompt chaining, routing, multi-agent, RAG, guardrails, reasoning, eval, and 13 more.

3

MCP server for real hardware control

We ship production MCP servers that control real Celestron telescope mounts, with satellite tracking, night scheduling, and object classification.

4

Multi-tenant SaaS site generator

One Next.js codebase serves 5+ live clients from per-tenant JSON config. New clients are configured, not coded — days, not weeks.

5

Multi-supermarket data product (50K+ products)

We index 5 Paraguayan supermarket chains (Superseis, Stock, Areté, Casa Rica, Supermas) and maintain a price-comparison engine.

6

4-language production website

Full content in es / en / nl / pt, including nav, footer, legal pages, newsletter, contact forms. Mercosur + Europe + US coverage.

7

Self-hosted Rust + React video LMS

A built-from-scratch Coursera-clone: videos, quizzes, certificates, progress tracking. Rust + axum + React + PostgreSQL.

8

42 public repos as proof of work

Every claim is verifiable on GitHub. No other AI agency publishes this much of their actual work.

Recent activity

Public build log. Updated when something interesting goes live.

sitelaunch

New company site goes live

Replaced the legacy 'Machines for the math' Vercel deployment with this Next.js 16 standalone app. 4-locale, content-driven, deployed on our own VPS. 32 routes, all SSG.

clientpreview

Dra. Gabriella dental site deployed in preview

Built apps/dra-gabriela/ in the monorepo with the content package from Ai-Whisperers/dentist. Public launch pending client data (phone, address, RUC, MSPBS).

researchopen-source

20-competitor market analysis published

Full analysis of the 20 AI agencies we benchmark against: services, pricing, threat level. Includes our 8 unique capabilities. Source: docs/research-sources.md (28 URLs).

salestools

28-capability sales sheet shipped

All 28 services with our pricing, market low/high, sources, and internal proof — as a Google Sheet via Apps Script or CSV import. Live in the company repo at Company/sales/.

infraaudit

VPS + Docker Swarm + Traefik fleet audit

52 services, 42 unique client sites, 55 Traefik hostnames, 8 overlay networks, 28+ volumes. Full breakdown in docs/infrastructure-audit.md.

The team

2 founder-led. 8 named AI bots. We work with a curated network for overflow.

Ivan Weiss van der Pol

Founder & CEO

Data Engineer, Automation Architect, QA Specialist. Founded AI Whisperers in November 2025. Mission: make AI practical for SMBs in Paraguay and LATAM. Built the @ai-whisperers/* npm package suite that powers 30+ client sites.

Next.jsTypeScriptPythonDocker SwarmTraefikMCP

📧 [email protected]

💻 GitHub

Kyrian Weiss van der Pol

Co-Founder & Technical Director

n8n expert, AI integration specialist, technical architecture lead. Co-founder of AI Whisperers. Drives the systems side of the engineering studio — pipelines, integrations, automations, deployment pipelines.

n8nAI integrationAutomationTechnical architectureDeploy pipelinesWhatsApp automation

📧 [email protected]