What is Wasyra's App in 1 Week service?

It's our express program that delivers a functional MVP in just 7 days. It includes strategy, UI/UX design, full-stack development with integrated AI and production deployment. Day 1-2: Strategy and Design. Day 3-5: Intensive Development. Day 6-7: Testing and Launch.

What artificial intelligence services does Wasyra offer?

We offer 14 AI services: autonomous agents, RAG & knowledge base, LLM fine-tuning, chatbots, computer vision, NLP, generative AI, MLOps, predictive models, recommendation systems, enterprise AI copilots, prompt engineering, AI safety and voice AI.

Does Wasyra offer staff augmentation?

Yes, we offer 10 talent models: individual staff augmentation, dedicated teams (Dev + QA + PM), team as a service, build-operate-transfer, nearshore for US/Canada, CTO as a service, tech recruitment, talent vetting, on-demand experts and managed services.

Where is Wasyra located?

Wasyra has presence in Lima, Peru and Los Angeles, US. We offer nearshore services for companies in the United States and Canada, with teams in a convenient time zone.

Wasyra Labs · Open product studio

Open projects to build the future in public with the community

A lab where ideas become real products: agentic AI, AI tools, developer-first infrastructure, learning apps and open source GitHub experiments anyone can learn from, contribute to or build on top of.

Propose a lab See how it works View public GitHub

Open

Ideas shared from day zero

Build

Prototypes with real code

GitHub

Public repos and traceability

github.com/wasyra

Public

Agentic-RAG

Agentic RAG for turning knowledge into search, reasoning and action workflows.

View repo

Public

Wsp-Agent

WhatsApp and automated operations agent oriented around real business workflows.

View repo

Public

VetaUI

Atomic design system to ship web products with high visual and technical quality.

View repo

Public

editorial-crew-crewai

Multi-agent editorial room with CrewAI: Tavily research, draft and LinkedIn post editing in a sequential pipeline.

View repo

Public

editorial-graph-langgraph

Same editorial use case with LangGraph: typed state, explicit graph and editor↔writer loop until approved.

View repo

Principles

Not a static portfolio. A living experimentation system.

Open by default

We document decisions, learnings and trade-offs so others can reuse the path, not just inspect the outcome.

Real agentic AI

We build agents, RAG systems and automations that solve operational work, not empty demos for hype.

Production-grade software

Design, architecture, DX, QA and observability matter from prototype stage so an experiment can grow.

Active tracks

Areas where we want to build with curious people.

The door is open for builders, designers, founders, students and teams who want to learn by shipping. Our strong focus: applied agentic AI, reliable software and real product work.

AI copilots & agents

Useful agents for real work: research, support, operations, automation and education.

LLMsRAGAgent UX

Developer tools

Tools to create, validate, deploy and observe software with less friction.

DXCI/CDObservability

Learning products

Educational experiments that combine narrative, guided practice and immediate feedback.

EdTechChallengesMentors

Community utilities

Small products that solve everyday problems for communities, businesses and local teams.

SaaSLocal-firstImpact

Public GitHub

Our labs live in the open, not hidden in slides.

These repos are part of Wasyra's public GitHub: prototypes, agents, RAG systems, design systems and tools where we experiment with agentic AI and productive software.

Open github.com/wasyra

Public

github.com/wasyra

Agent-Reservas

Experimental agent for reservation flows, operational coordination and conversational automation.

PythonAgentic AIAutomationReservations

View repo

Public

github.com/wasyra

VetaUI

Atomic React design system: Tailwind v4, Radix, Motion, OKLCH tokens and MCP-friendly catalog.

TypeScriptDesign SystemReactMCP-friendly

View repo

Public

github.com/wasyra

Wsp-Agent

WhatsApp agent experiment for business operations with automated conversational workflows.

TypeScriptWhatsAppAgentsBusiness Ops

View repo

Public

github.com/wasyra

Agentic-RAG

Agentic RAG lab for search, reasoning and LLM-powered knowledge systems.

TypeScriptRAGAgentsKnowledge Systems

View repo

Public

github.com/WasyraTech

editorial-crew-crewai

Multi-agent editorial room with CrewAI: Tavily research, draft and LinkedIn post editing in a sequential pipeline.

PythonCrewAIMulti-agentLinkedIn

View repo

Public

github.com/WasyraTech

editorial-graph-langgraph

Same editorial use case with LangGraph: typed state, explicit graph and editor↔writer loop until approved.

PythonLangGraphMulti-agentEditorial AI

View repo

How a project enters

From open idea to usable demo, without innovation theater.

Public brief

We define the problem, user, minimum scope and why it deserves to be built in the open.

Prototype sprint

Design, architecture and the first functional build with recorded decisions and visible debt.

Community loop

Demos, feedback, issues, contributions and the next version based on real usage.

Have an idea that should exist?

Bring the problem. We bring agentic AI, design, architecture, product thinking and a clear way to build it in public.

Write Wasyra