AI SYSTEMS.REAL WORK.

Bartosz ‘Osa’ Osiński

I design and build systems that do the work and leave a result you can verify.

Explore the work ↓
MINI AUDIT · NO COMMITMENT

Diagnose first. Then build the system that removes the real bottleneck.

Describe the process that currently costs time, money or control. You will get a concrete direction: what to fix, what to automate and which first implementation stage has the best return.

  • a map of the problem and risks,
  • the biggest automation or AI opportunity,
  • a proposed scope for the first implementation.
01 · PROCESSInputs, decisions, manual work and outcome.
02 · ARCHITECTURETools, integrations, data and control points.
03 · PLANThe smallest stage that delivers a measurable result.
What do you want to improve?

The form will open a ready-to-send email containing all your answers.

SOURCE · PROOF · PUBLIC REPOS

Code instead of a random project gallery.

Public repositories showing the OsaTechGPT core: framework, proof runtime, execution layer and experimental agent memory.

EXPLORE THE SYSTEM ARCHITECTURE → RUNTIME GOVERNANCE →
GHPUBLIC · CORE

OSA — Agentic Systems Framework

The main OSA ecosystem repository and entry point to the agent systems architecture.

frameworkarchitectureagents
GHPUBLIC · VERIFIED

Agent Proof Runtime

Proof-first runtime: execution, evidence, replay, receipts and independent result verification.

proofruntimeverification
GHPUBLIC · EXECUTION

OSA Execution Force

Execution layer and portable skills for coding agents with capability control and explicit operating boundaries.

executionskillscontrol
GHPUBLIC · R&D

NeurOSA Human Brain

Experimental memory and relationship-representation layer for OSA agent systems.

memorygraphR&D
WHAT WE BUILD · FROM PROBLEM TO DEPLOYMENT

We don't sell “AI for AI's sake.” We build the layer that improves a concrete outcome.

We start with the process, data, cost of error and accountability. Only then do we choose the model, application, integrations and deployment path.

AUD

Process & AI readiness audit

We map inputs, decisions, manual steps, data, risks and the success metric. The result is a prioritized change list instead of a generic presentation.

Outcome: process map, risks, quick wins and MVP scope.
Processs mapROIRisk
AI

Controlled AI systems

Copilots, RAG and agent workflows with explicit permissions, human approval, logs, limits and a decision replay path.

Outcome: automation that can be supervised and audited.
AgentsRAGApprovals
APP

Operational applications

Panels, SaaS, dashboards and internal tools designed around a real workflow rather than a random set of screens.

Outcome: shorter handling time and one source of operational state.
Web appSaaSUX
AUTO

Automation & integrations

We connect CRM, email, calendars, documents, APIs and databases. We add retries, idempotency, queues and exception handling.

Outcome: less data copying and fewer silent failures.
APICRMWorkflows
RUN

Agent runtime

We design missions, workers, queues, recovery, budgets, monitoring and evidence. The agent gets explicit operating boundaries instead of unrestricted access.

Outcome: repeatable execution with visible state.
RuntimeQueuesEvidence
SEC

Security & governance

We audit secrets, access, dependencies, attack surface, tool isolation and approval policies for critical operations.

Outcome: concrete fixes and deployment-risk control.
AccessSecretsHardening
WEB

Websites & landing pages

We build fast websites with a clear value proposition, information architecture, lead capture, analytics and solid SEO foundations.

Outcome: a site that explains the offer and captures the right inquiries.
ConversionSEOAnalytics
OPS

Deployment & operations

Repository, CI/CD, VPS or cloud, domain, TLS, monitoring, smoke tests, backups and runbook. After deployment, we verify the real endpoint.

Outcome: a working system with rollback and an operating plan.
VPSDeployMonitoring
BENCHMARK-BACKED SPECIALIST

Bartosz “Osa” Osiński

One of Poland’s leading independent builders in AI Agent Runtime Governance & Verified Execution.

Polish AI systems builder from Inowrocław, based in the Netherlands. Founder / builder of OsaTechGPT.dev and the HazEOskA GitHub ecosystem, focused on runtime control, capability boundaries, immutable evidence and independent verification for autonomous AI systems.

AI AGENT GOVERNANCERUNTIME CONTROLCAPABILITY BOUNDARIESIMMUTABLE EVIDENCEINDEPENDENT VERIFICATION