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angular ai agents

AI agents and features built into your Angular product.

Gaper builds AI agents, copilots, and smart features directly into your Angular front-end and wires them to your back-end services. We deploy supervised agents in your stack, hand over the code, evals, and runbook, and your team owns it.

Book a free AI assessmentWhat is an AI agent?
Map the workflowBuild the supervised agentSandbox, verify, go live
gaper · ship pipeline
✓Scope
✓Build
✓Eval
✓Deploy
●Live
prototype→production
In one sentence

Angular AI development is the work of building AI agents and features into an Angular front-end and connecting them to back-end services. Gaper builds supervised production agents inside your components, services, and APIs, deploys them in your stack, and hands over code your team owns.

ProductionNot another demo
Model-agnostic
In your cloudYour auth, your data
You own itCode, evals, runbook
Why this matters

Most Angular apps bolt AI on as a chat widget that can answer but never act. The hard part is an agent wired into your components, RxJS streams, and back-end services that completes the task in production, on your data and auth.

Production filter
  • Does it touch real systems?
  • Can the outcome be measured?
  • Where does human approval stay?
  • Who owns it after launch?
Free AI assessment

Book a free assessment. We will identify one high-leverage workflow, make the build-vs-buy call, and scope the smallest production release.

Map your first production agent
How we work

From strategy to production, owned by your team.

  1. 01

    Map the workflow

    We start from the documents, SOPs, portals, inboxes, and spreadsheets your team already uses, then turn the repeatable path into an agent workflow map.

  2. 02

    Build the supervised agent

    We build on OpenAI, Claude, Gemini, or the right model for the job, with evals, guardrails, citations, and human approval gates where risk matters.

  3. 03

    Connect the stack

    The agent gets the data layer, APIs, MCP tools, auth, and write-backs it needs to finish work inside your systems, not beside them.

  4. 04

    Sandbox, verify, go live

    We launch in a sandbox, verify every run, then move into supervised production with traces, rollback, and an owner.

What we build

Agents wired into the systems you already run.

In-app AI features

Agents and copilots built into your Angular components and routes, embedded where users already work, not stranded in a side panel.

Service and API wiring

Agents connected through your Angular services and HttpClient to real APIs, so they read live state and write back into your systems.

Streaming UX with RxJS

Token-by-token responses, tool calls, and live status handled with Observables and signals, so the UI stays responsive while the agent works.

Grounded retrieval

Answers grounded in your data with citations and freshness, retrieval built so it holds up against real users in production.

Evals and human gates

Automated evals and approval steps on risky actions like submissions, payments, and record changes, before any of it reaches a user.

Secure deployment

Runs in your cloud on your auth, with SSO, RBAC, and audit trails, so the agent inherits your security posture instead of widening it.

Built into the Angular app, not bolted beside it

We work inside your existing Angular project: components, services, guards, and state. The AI feature ships as part of your front-end and inherits your routing, auth, and design system instead of living in a separate widget.

  • Native components and signals, no iframe bolt-on
  • Wired through your Angular services and HttpClient
  • Matches your existing routing and auth
Production launchWhat Gaper hands over
doneWorkflow map

Inputs, systems, owners

doneAgent build

Tools, prompts, permissions

readyEval suite

Known cases and edge cases

readyGo-live runbook

Approvals, traces, rollback

Handoff packagesource codedashboardrunbookowner training

You own the outcome, and the code

A forward-deployed team works alongside yours and hands over a clean, documented codebase. No black box, no lock-in, no logic trapped in a vendor tool outside your repo. Your engineers can read it, extend it, and ship the next one.

  • Clean, documented Angular and agent code
  • Knowledge transfer built into delivery
  • Extend and maintain it without us
Handover state
handoff packageCode, runbook, evals, dashboard
owned by your team
Source repoRunbookEval suiteOwner training

Access your auth

Data your environment

Ops monitor or handoff

From prototype to production, the part most teams miss

A demo that works on stage rarely survives real users, real data, and real edge cases. We design for that gap from day one: evals before launch, guardrails on risky steps, traces in production, and a real owner at go-live.

  • Evals that gate every release
  • Fallback and escalation paths
  • Traces, rollback, and a runbook
Release gate
  1. 01Eval suiteknown + edge casespass
  2. 02Policy checkguardrails enforcedpass
  3. 03Human fallbacklow-confidence routedhold
  4. 04Releaseshipped to prodlive

p95 latency 1.2s

eval pass 12/12

rollback ready

Model and stack agnostic
OpenAIClaudeGeminiMCPYour APIsPostgresAWSGCP
FAQ

Questions buyers ask us.

What does Gaper build for an Angular product?+
AI agents, copilots, and smart features built directly into your Angular front-end and wired to your back-end services. They retrieve grounded answers and take real actions through your APIs, deployed as part of your app and supervised with evals and human approval gates.
Do we own the code after you build it?+
Yes. We build and deploy the agent into your stack on your auth and data, then hand over a clean, documented codebase plus evals and a runbook. Your team owns it fully and can extend it without us.
Will it slow down or bloat our Angular app?+
No. We build with native Angular patterns, signals, RxJS, and lazy-loaded routes, and stream responses so the UI stays responsive. Heavy agent logic runs in your services and back-end, not in the bundle shipped to the browser.
Which models do you build on, and how fast can it go live?+
We are model-agnostic across OpenAI, Claude, and Gemini, and pick the right model for the job. Agents run in your own cloud on your data and auth, and a first supervised version can be live in as little as 24 hours.
See what operators from other companies think about AI Agents:
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Production AI agents, shipped with an owner

Ready to deploy your first agent?

Book a free 30-minute assessment. We'll map the highest-leverage workflow and scope the smallest thing worth shipping, live in as little as 24 hours.

Build, deploy, runYour cloudYou own the code