01
Your product needs an AI feature
Add an assistant, search, summarization or another focused capability to a Unity product, mobile application or custom tool. Connect an existing plugin or build the missing integration around the actual user flow.
AI Integrations & Private AI Trials
Add AI to your tools.
Start with one useful task.
I help add AI features to apps and business tools, connect existing AI plugins and build prototypes of internal assistants. I am also developing my private-AI services through small trial projects. We start with one task and check the quality, privacy requirements and running costs before deciding whether to expand.
Independent practice · I do the engineering personallyEurope/Lviv · Remote worldwide
When this fits
A useful task. Not AI for its own sake.
02
Your team repeats manual work
Explore document extraction, support-response drafts, internal search or routing between business tools. Start with one workflow, approved access and a person reviewing outputs before consequential actions.
03
Your company wants more control
Evaluate a local or private AI setup for a small internal user group. Map where documents and prompts go, what must stay inside your environment and whether the available hardware can support the task.
What you receive
The work and results we agree on.
A task, data & feasibility assessment
Agree who will use the feature, how the task is done today and what a useful result would look like. Check available connections, confidential data, access permissions and where the AI could run. Identify missing requirements before a larger commitment.
A working integration or pilot
Set up the agreed plugin or build a connection, app feature or internal assistant. Limit access to approved systems and data, define what actions it may take, handle errors and include human approval where needed.
Quality & operating-cost evidence
Evaluate representative tasks against the current process. Check incorrect answers, retrieval quality, permission boundaries, latency and expected API or infrastructure costs. Record limitations—not just a successful demo.
A handover & rollout decision
Document the configuration, data flow, deployment steps and known risks. Agree monitoring, updates, support and an operational owner before production rollout. Continue, adjust or stop based on the pilot results.
The starting offer is integration engineering and feasibility-led pilots, not an established enterprise AI platform or a 24/7 managed infrastructure service. Production rollout needs agreed security and operational ownership with your IT team or specialist. Hardware, hosting, model/API fees and ongoing support are scoped separately. Business outcomes and error-free AI output are not guaranteed.
Private AI · Start with the data flow
The right setup depends on what must stay private.
Choose where the model runs, then decide which knowledge and tools it can access. “Private” is a set of requirements to implement and verify—not a label on a chat window.
Hosted-model integration
Connect a product or workflow to an agreed model provider. Document what is sent outside your environment and review provider terms, retention settings and usage limits before sharing company data.
AI running on your own or private systems
Test an existing model on company-controlled hardware or approved private infrastructure. Validate capacity, access controls and the full data path. Decide who owns patching, backups and operation.
Company knowledge assistant
Add retrieval over selected, approved documents to either deployment model. Preserve source permissions, provide references and evaluate wrong, missing or outdated answers with a small user group.
How we work together
Start small. Measure. Decide.
- 01
Choose the workflow
Pick a repetitive or difficult task, identify the people using it and define what a useful improvement would look like. A simpler non-AI integration may be the right answer.
- 02
Map the boundaries
Agree approved data sources, model access, permissions, retention and actions that require human approval. Choose a deployment path and a capped pilot scope.
- 03
Build & evaluate
Implement the smallest complete workflow and test representative and failure cases. Review output quality, access controls, latency and operating cost with the pilot users.
- 04
Decide the next step
Compare the trial results with the current process and decide whether wider use is worthwhile. Confirm who will run the systems, apply updates, monitor problems and provide support.
Relevant development experience
Experience behind the offer.
My delivery background is Unity products, production mobile software and integrations. The examples below show that engineering foundation—not completed private AI deployments. AI integration and private systems are an expanding area of my independent practice.
Product delivery
Reach The Beat
Shipped Steam PCVR title. Sole Unity engineer and technical owner across architecture, gameplay, integrations, builds and release delivery.
View on SteamProduction software · NDA-safe
Android / iOS application
Production mobile engineering across application architecture, backend/API integration and native platform boundaries. Client identity and confidential implementation details are not disclosed.
Product identity withheld · NDA-safe
Before we start
Clear expectations.
01Is this only for Unity or game projects?
No. This offer also covers internal business tools and workflows where the task and interfaces are a good fit. Unity and production mobile work remain my established delivery background. I assess new AI engagements individually and keep the initial scope narrow.
02Can you integrate an existing plugin or build a custom one?
Yes—depending on the product, APIs, licensing and access available. An existing plugin may cover the task; a custom plugin, connector or tool can fill a specific gap. Scope includes authentication, permissions, error handling and the user workflow, not only installing a package.
03Can AI run locally without sending company data to a model provider?
That is a deployment option to evaluate, not a default promise. Local inference needs a suitable model and hardware. The complete path must be checked: document processing, embeddings, logs, telemetry, plugins and external calls as well as the model. A self-hosted interface alone does not make the whole system local.
04Does private AI mean training a model from scratch?
No. The initial scope uses existing models, approved knowledge sources and integrations. An internal knowledge assistant can retrieve relevant documents and include source references without training a new foundation model. Model training is not part of this starting offer.
05Can an assistant use our documents or take actions in our tools?
Those are candidate pilot workflows. Document retrieval should respect the user’s source permissions and show source references where appropriate; answers still need evaluation. For actions, start with read-only or draft mode, limited credentials and explicit approval before sending messages or making consequential changes. Retrieved content is data, not authorization to run tools.
06Will local AI be cheaper than an API?
Not necessarily. Compare model/API usage with hardware, hosting, maintenance, concurrency and response-time requirements. A small hosted-model integration may be a simpler first experiment; privacy or infrastructure requirements may favor local inference. The pilot should make the trade-off visible.
07Can we start with a small budget?
Yes: begin with a feasibility assessment, one connector or a single-user workflow pilot. Agree the deliverable, cost boundary and stop/go checkpoint first. Model/API fees, hardware, hosting and ongoing operation are separate from implementation work unless explicitly included.
Discuss ai features & private ai trials
Which task should become easier?
Describe the task, your existing tools and what needs to stay private. I can help define a practical first trial. Please do not include passwords, access keys, customer records or confidential documents in the first message.
Have a limited budget? Tell me your priority and the range you’re comfortable with. I’ll be clear about a realistic first step.
Confidential from the first conversation
I count contact interactions in aggregate, without visitor IDs or message contents.
Need a different kind of help?
All servicesBuild a game
Game Development
Build a non-game app
App Development
Improve an existing product
Unity Project Review & Repairs
Keep a product moving
Part-time Unity Technical Lead
Revive & retest a product
Updates & Support for Older Unity Projects
Bring the right skills together
Development with Creative & Testing Specialists
Check quality before the next step