Founder & AI Product Leader

I turn uncertain AI workflows into governed production systems.

I am Wojciech Wiesner — former Founder & CEO of Xpress Delivery. I design and operate AI products where deterministic workflow logic, validation and human accountability define the boundary; models handle bounded interpretation, extraction and language.

2.44x faster task deliveryJIT-Context OSCERN Zenodo DOI: 10.5281/zenodo.22649542Sub-3ms epistemic memory runtime eliminating context bloat, prompt drift, and agent self-poisoning.Evidence: paired empirical benchmark on 45-module production codebase; 199/199 Vitest PASS.
10k+ invoices processed per monthInvoiceFlowHigh-volume document workflowOCR and model-assisted extraction are followed by deterministic validation before accounting export.Evidence: author-reported operational metric; refresh before publish.
1,500+ candidates onboarded end-to-endOnboarding FlowSchema-driven legalisation workflowA schema-driven state machine controls the flow; AI is limited to bounded interpretation and language tasks.Evidence: author-reported operational metric; refresh before publish.
90 / 10 operating-model splitGoverned AI deliveryDeterministic workflow logic governs business decisions; models are used for bounded interpretation, extraction and phrasing.Evidence: architectural principle, not a universal measured ratio; scope to the named systems.
EMPIRICAL PRODUCTION BENCHMARK

Autonomous Coding Agents: Standard Haystack vs. JIT Context OS

Same-session scorecard, not full SWE-bench →
Same-session wall clock (Gemini)1.57x
No JIT: 207.6s (10/10)
JIT + live JEV: 132.0s (10/10)
Agent turns on the same fixtures49 vs 69
No JIT: 69 turns
JIT + live JEV: 49 turns
Local Edge Pass Rate (M2 Pro)100% Pytest Verified
Raw 9B Baseline: 80% (4/5)
JIT + JEV 9B: 100% PASS (5/5)

Across these named systems, deterministic workflow logic governs business decisions; models are used for bounded interpretation, extraction and phrasing.

How One Who Is Many works

Human intent in. Verified result out.

Borg = many collapsed into one. The Ones inverts it: one person, amplified into many — with the human owning every decision and every quality gate.

  1. 01

    Human intent

    You set the outcome. The operator stays sovereign — never assimilated.

  2. 02

    Orchestrator

    Intent is decomposed into scoped work a specialized team can execute.

  3. 03

    Specialized agents

    A voluntary collective of AI agents does the parallel heavy lifting.

  4. 04

    Quality gates

    Tests, reviews and scans provide evidence before release.

  5. 05

    Verified result

    Output with evidence attached — not a promise, a track record.

The first public product

Developer Passport

Your CV says what you claim. Your code contains evidence. Developer Passport connects the two — evidence-first, with confidence levels and an explicit account of what it cannot infer. No automated verdict on whether you are a “good” developer.

Founding cohort is a consent-first waitlist. No GitHub token or private-repo access in this phase.

The machinery

borg.tools — the engine room

A personal toolkit and lab, not one finished SaaS: a reproducible portfolio audit, self-hosted model routing, coding agents andBorg Cockpit(live). Many agents and tools, coordinated as one system.

Tour the toolkit →

Founder proof

Founder experience before AI architecture.

Before building AI products, I founded and led Xpress Delivery, a same-day courier business spanning product, engineering and enterprise B2B operations. In 2022, Brief included me in “50 Most Creative in Business”. That operating background is why I start with the business bottleneck, the decision boundary and the outcome to measure — not the model.

Brief: “50 Most Creative in Business” (2022)
Field notes

Working in the open

All field notes →

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Looking for an AI Product & Engineering Leader?

I work from operational problem to governed delivery: clarify the decision, design the workflow boundary, lead the build, and verify the result in the real system.