Services
Three kinds of work, each with the evidence behind it, and one engineering lead who owns your project and answers for what's delivered. The evidence is Jigg.AI's own public builds; client work stays private unless you choose to share it.
Rapid Prototyping & Product Delivery
From an idea to working software people can use: prototypes, proofs of concept, MVPs and custom applications, websites included.
What it covers
- Prototypes and proofs of concept
- MVPs and first production versions
- Custom applications and internal tools
- Websites
Evidence
- Building Jigg.AI itself, with Claude Code and Astro
- Hardening the email signup endpoint after the bots found it
- The engineering lead's professional experience
The builds are Jigg.AI's own projects, documented in public. They show the method; they are not client engagements.
AI agents do much of the implementation. The engineering lead sets the architecture, reviews every change and decides what ships. The build logs show the dead ends and the time sinks as well as the result.
Legacy Modernization & Systems Engineering
Improving software that already runs the business: upgrades, refactoring, integrations and architecture changes, done in steps so existing behavior keeps working.
What it covers
- System assessment: what to keep, what to change, and in what order
- Framework, runtime and dependency upgrades
- Refactoring and paying down technical debt
- Integrations between existing systems
- Architecture reviews and improvements
Evidence
- The engineering lead's professional experience in software engineering and engineering management
- Planned for the build journal: an aging open-source application, modernized in public, with its existing behavior pinned by tests before anything changes
There is no public modernization build yet, so this rests on professional experience. No client names or outcomes are claimed.
Modernization is the work organizations keep postponing: the system still runs the business, nobody wants to break it, and the people who could change it are busy keeping it running.
Existing systems carry decisions nobody wrote down, so the work starts by capturing what the system actually does today — its architecture, its dependencies, the business rules buried in the code — and pinning that behavior down with tests. AI then helps analyze the code, refactor, migrate and write further tests. The engineer reviews every result, catches the wrong assumptions, and makes the calls that carry real risk: what to keep, what to change, and in what order.
AI Integration & Automation
Putting AI to work where it earns its place: assistants grounded in your own content, workflow automation, and the operational hardening around them.
What it covers
- AI assistants and support bots
- Workflow automation
- Hardening and operating what's built
Evidence
- A support chatbot for Jigg.AI, built with Botpress
- Hardening the email signup endpoint after the bots found it
Internal builds, documented in public. They show the method; they are not client engagements.
An assistant is only as good as what it can see and what it refuses to make up. The Botpress build tested exactly that, with 30 questions written before the build.
Jigg.AI recommends AI only where it earns its place, and says so when a simpler tool, or no AI at all, is the better answer.
Ways to work with Jigg.AI
Three ways to start, across all three services. Every engagement begins with a free conversation, and scope and price are agreed before any paid work. There are no published prices.
Scoped Engineering Pilot
A paid, fixed-scope way to try the approach on one real problem, after a free discovery conversation.
- Assess the system or workflow, its constraints, and the outcome you want
- Pick one meaningful, bounded improvement
- Implement it where that can be done safely
- Test it, with a human reviewing every result
- Hand over the result, the findings, and a proposal for anything larger
Not every system allows a safe change inside a small pilot. When it doesn't, the deliverable is the assessment and a plan.
Engineering Project
Defined work — a prototype, a modernization, an integration or an automation — with agreed deliverables and acceptance criteria.
Fractional Technology Leadership
A part-time technology lead on a monthly retainer, for organizations without one in-house.
- Technical direction and planning
- Evaluating vendors and options
- Overseeing the work, and choosing what to improve next
Hours, responsibilities and availability are set in the agreement, and implementation is scoped separately or through an explicit allowance. It isn't an on-call IT service: 24/7 availability, IT support and emergencies are excluded unless contracted separately.
Your project stays private
The build journal is Jigg.AI's own work, published on purpose. Client projects are not build logs. Unless you decide otherwise, nothing about yours is published — not the code, not the details, not even that you're a client.
Some clients are happy to share a little, and that's your call, at the level you choose:
- Private
- The default. Nothing is published.
- Shared with permission
- Only what you approve in writing — say, an anonymized write-up of the approach — and you review it before it goes out.
- Case study
- A named write-up, with your written permission and your review before it's published.
How your code and data are handled
- AI tools are agreed with you first. You approve which tools touch your code or data before work starts. If your policies restrict third-party AI services, the work follows your policies.
- Your code stays in your systems. Work happens in your repositories or a private workspace, with the minimum access the work needs.
- A human reviews every change before it's delivered, and nothing is deployed to your environment without explicit approval.
- Test results say who verified them. AI-generated test results are reported separately from independently verified outcomes.
- You own what you pay for, as set out in the engagement agreement.
- No referral fees. Tools and vendors are recommended on merit; Jigg.AI earns nothing from them on client work.
Who you work with
Every engagement is guided by experienced engineering judgment, with AI accelerating implementation, testing and iteration. You work directly with the engineering lead responsible for your project. Who leads Jigg.AI →