evanbyte builds custom software and production-grade AI agents for teams that need results, not demos.
Task
Reconcile this month's invoices
Plan the run
Reconcile invoices against bank payments
erp.list_invoices
period: "current", status: "open"
bank.fetch_transactions
since: "period_start"
Match payments to invoices
Exact and fuzzy matching
Approval needed
Payment above the configured limit
chat.post_summary
channel: "finance"
What we build
Agents are only as useful as the software around them. We build both, so what we ship fits together.
Custom software
Web platforms, mobile apps, APIs, and the cloud infrastructure behind them. Designed with you, shipped in small steps, and handed over clean.
AI agents
Agents that work inside your tools and data, with the evals, guardrails, and monitoring that keep them reliable after launch.
Why evanbyte
Agents are only as useful as the systems around them. We build the software and the agents together, so they fit from day one.
Tests, evals, guardrails, and monitoring ship with the first release, not as an afterthought.
Your code, your cloud, your data. What we build lives in your accounts, with documentation your team can use.
Built for production
Most of an agent is the system around it. These are the parts we build into every one.
Illustrative interfaces. They show the kind of tooling we set up around an agent.
A suite of real cases runs on every change. A regression blocks the release.
Risky actions wait for approval, with the evidence beside the request.
Refund $240.00
Order A-2291 · arrived damaged
Each tool is allowed, gated, or blocked. Nothing is implicit.
1 allowed · 2 need approval · 1 blocked
Every run is traced: what it read, what it called, how long it took, and what it cost.
Model call · longest span, the first place to look for cost.
The agent cites what it used, respects access rules, and says so when it doesn't know.
Question
What's our refund window for damaged items?
Answer
Damaged items can be refunded after review 1. Refunds above the auto-approve limit need a manager 2.
New versions start in shadow mode, widen in stages, and revert in one click.
Evals pass and error rates are steady. Widening to 50%.
Agent blueprint
Pick a workflow and see how an agent would run it, what it can touch, and where people stay in control.
Two minutes. No sign-up.
Triage new tickets and draft replies.
Trigger
A new ticket arrives.
Gather context
Reads the ticket, the customer's history, and the matching help articles.
Decide
Classifies the request, checks it against your policies, and chooses a reply or a handoff.
Act
Drafts a reply, tags and routes the ticket, and prepares any refund or account change. Each change waits for a person's approval.
Record
Logs the decision, the sources it used, and the outcome for every ticket.
How we work
Every project follows the same five steps, with working software at the end of each one.
We learn your goals, users, and constraints, then agree on what success looks like.
You get
Architecture, prototypes, and a scoped plan with milestones you can hold us to.
You get
Short cycles with weekly demos, shared repositories, and written decisions.
You get
Production deployment with monitoring, rollbacks, and a handover your team can follow.
You get
Ongoing support, measurement, and improvements as real usage teaches us more.
You get
Insights
Agents5 min read
Most automation doesn't need an autonomous agent. Four questions that tell you when a plain workflow is the better answer, and when it isn't.
Engineering3 min read
The tools you give an agent shape its behavior as much as the prompt does. Seven habits for tools a model can use reliably.
Company4 min read
A written plan, a thin first slice, and a demo every week. The habits we use to keep a custom software project honest.
Work
We're choosing a small group of design partners: teams with a real software or agent project and a clear goal. You get senior engineering attention, and we build something worth showing.
Become a design partner
A few lines are enough. We'll reply by email to set up a call.