About

Josiah Bujanda, Applied AI Systems

0-to-1 Products · Agent Architecture · Evaluation · Production Reliability · High-Stakes Execution

Summary

I came to AI systems through operating problems. Ten years estimating and delivering commercial construction taught me to care less about whether a model can produce an impressive answer and more about whether the whole system can be trusted to do useful work again tomorrow.

Today I design those systems end to end: workflow discovery, product definition, agent architecture, tool execution, state, evaluation, safeguards, production iteration. I own the design, the decomposition, the acceptance criteria, the debugging, and the production behavior. AI does a lot of the typing.

FutureKind, 2022 to present. Founder

Independent practice designing and operating agentic AI systems from discovery through deployment, evaluation, and iteration. The practice has its own page: FutureKind.

Stem, owned end to end, core bet that sensitive work should remain private without giving up access to frontier AI. Strategy, users, roadmap, prioritization, interaction design, evaluation, and production iteration are mine. stem

Stem's reliability loop. Incidents become permanent regression tests, privacy-aware routing that fails local by default, human approval gates for consequential actions, a 96/96 self-test gate, and degeneration detection calibrated against 30,230 stored turns. the Stem page

The bid-review product. Embedded discovery and workflow mapping through requirements, prototyping, evaluation, launch, and iteration. $221,915.70 surfaced across $3,442,234.02 of live bids, every finding linked to source evidence and held for human approval before it reached a customer. the review desk

Orchestration redesigned around product performance rather than maximum autonomy, dependency-aware parallel tasks under controlled execution, 2.25× realized end-to-end throughput. the orchestrator page

An internal quote import tool, shipped through beta into production for a 12-person estimating team, estimated to return 30-60 hours a week of manual re-entry; 12 releases, no rollbacks. the quote import tool

Thirteen working products across iOS and the web, primarily creative audio tools, two of them in Apple distribution, including Perihelion, a standalone and plugin synthesizer. the thirteen products

Horton Controls Group, 2015 to present. Senior Estimator and Project Manager

Preconstruction and project delivery across complex, high-value commercial developments, with responsibility spanning technical scope, stakeholder coordination, schedule, commercial risk, and field execution.

Developments led include Globe Life Field, Dickies Arena, Goldman Sachs’ Dallas headquarters, Liberty Mutual, Legacy West, Texas Live!, Trammell Crow Center, and Pegasus Place.

Represented the controls scope in stakeholder meetings with owners, developers, general contractors, engineers, manufacturers, and field teams, including direct coordination with major development organizations on projects facing severe liquidated-damages pressure for delayed delivery.

Owned execution across cross-company dependencies: changing requirements, technical constraints, procurement schedules, field conditions, and customer commitments, translated into decisions that kept work moving toward fixed milestones.

Managed scope across design interpretation, submittals, procurement, construction, commissioning, and closeout.

Across 1,600+ estimates, 300+ submittal packages, and 200+ commercial projects, including responsibility for lighting-controls scope on projects totaling $250M+ in construction value and contributions to developments totaling $2.5B+ in publicly reported cost.

Product and technical

  • Product management

    0-to-1 product development, product strategy, customer discovery, problem framing, product requirements, roadmap development, prioritization, rapid prototyping, UX and interaction design, experimentation, success criteria, launch, product evaluation, iteration, human-in-the-loop design, stakeholder alignment.

  • AI products and systems

    Agentic workflows, multi-agent orchestration, tool execution under permission gates, persistent execution state and resumable runs, context assembly, model routing, tracing, RAG, retrieval and natural-language search, AI evaluations, regression testing, deterministic validation, privacy-aware AI, computer vision, human approval systems, OpenAI and Anthropic APIs.

  • Data and development

    Python, SQL / SQLite, JavaScript / React, APIs, Git, Jupyter, structured data models, taxonomies and classification systems; Claude Code in the implementation loop.

Education

B.S. Mechanical and Energy Engineering, University of North Texas, 2015.

The Premise

I build things to understand them. This is where I publish the work before it gets compressed into a résumé line, a case study, or a product category.

I build AI systems, browser games with my kids, software instruments, research pipelines, workflow tools, and whatever else a question seems to require.

The projects look unrelated. I am studying the same thing in all of them: how understanding forms, how it breaks, and what a tool can do about it.

The bid-review system and the roller coaster toy come from the same place. I have always been a builder; I started with Legos and I cannot stop. Building is how I look harder at how something works.

Method: build the smallest real thing that can push back on the idea. Bias: every number I publish traces to a receipt, and the person accountable for the outcome makes the call. The commercial work is under Work; music software lives at DeepField Studio.

Contact

El Paso, TX · hello [at] josiahbujanda [dot] com ·

How I work

Six things I do on a product team.

01 / Discovery, workflow mapping, customer context

Find the real problem

I sit with the workflow first: what the person is actually trying to decide, where the day already leaks, and what the system has to know to help. Doing that for a model is the same discipline that turns a vague RFI into a decision someone can act on.

What the Model Sees

02 / Strategy and prioritization

Turn ambiguity into a product bet

Somebody has to name the bet, say what it costs if it is wrong, and cut the work that does not serve it. Stem runs on mine: sensitive work stays on hardware I own and still gets frontier-quality answers. Every feature since has been judged against that one line.

See the bet running

03 / Evals, failure modes, quality gates

Define good before launch

I write down how the thing fails before it ships, then build the gate that catches it. Every output Stem produces gets graded against a ledger, the same instinct that made me itemize $221,915.70 in the review desk before any of it reached a client.

Smarter Every Time It Fails

04 / Models, routing, orchestration, privacy, human authority

Design the system around consequence

What a wrong answer costs the person waiting on it decides the architecture. That is what sets which model runs the task, what gets fanned out and what stays on one thread, what never leaves hardware I own, and where a human still has to say yes before anything touches the real world.

The 300 Second Write Three Scouts in 47 Milliseconds

05 / Customers, stakeholders, deadlines, technical dependencies

Move complex work through real constraints

Ten years leading delivery on commercial developments where a missed milestone carried liquidated damages taught me how to hold a schedule against other people's dependencies, who has to be in the room when the money starts leaking, and how to get a decision out of that room. That judgment is the whole reason the review desk works.

Read the review desk

06 / Production behavior, usage, regressions, next decision

Ship, observe, iterate

Thirteen working products across iOS and the web, primarily creative audio tools, including Perihelion, a standalone and plugin synthesizer. Then the part that matters: watching what people actually do with it, catching what broke, and letting that pick the next thing I build.

See the thirteen products