ZetrixwebAgent Buildout
The planning loop, tool calls, and retries that turn a model into a worker - on your workflow, not a demo one.
Non-negotiable
AI Agent Development
Most AI agents get cancelled. Ours get audited.
Over 40% of enterprise agent projects will be scrapped by 2027. Every one we ship carries the three things the scrapped ones didn't: a human approval gate, an evaluation score, and a complete audit trail. Built by the team the World Bank and the European Union already trust.
World Bank & EU delivery record
Free 7-day trial, real task
Your IP from day one
The Receipts
Numbers a pitch deck can't fake.
Every figure below is on a public record you can check without talking to us.
74M+Downloads on one product we engineered
3M/dayVisitors handled by a platform we built - Clutch-verified
4.9Clutch rating across 5 verified reviews
66Unsolicited client reviews, all platforms
0Reviews we ever asked for
101Contracts completed on Upwork, Top Rated
The Anatomy
Every agent ships with the same skeleton.
Whether it's a single agentic AI workflow or a multi-agent system with several specialists coordinating, the underlying loop below is what we build first, every time.
See It Work
Three agents, mid-task - not mockups.
Same loop, three different jobs. Each one is paused where a well-built agent should pause - at a human checkpoint, not after shipping something unreviewed.
1 Support Ticket Triage
> agent.perceive(ticket_id="TCK-48213")
✓ context loaded - tier: Enterprise
> agent.plan()
✓ route: lookup → draft → approval
> agent.act(tool="kb.search")
⚠ refund > $500 - human approval
● awaiting Priya K., Support Lead
Perceive
Plan
Act
Verify
Improve
2 Contract & Document Review
NDA_Acme_v3.pdf
Payment TermsNet 30Extracted
Renewal DateNov 14, 2026Extracted
Liability CapNot foundRouted to legal
Termination ClauseNon-standardFlagged
3 Sales Lead Qualification
AI
Team size and current CRM?
42 reps, on Salesforce.
AI
Budget confirmed at $60K/yr, this quarter.
Lead Score82 / 100
Qualified · routed to AE
What We Build
Six things, done properly, or not at all.
Not a feature list to pick from - a bar every build has to clear before it ships.
RAG Grounding
Answers cite your documents, with retrieval you can inspect. No model-memory guessing on company facts.
Non-negotiableTool & MCP Integration
Your CRM, ERP, and APIs wired in with least-privilege scopes. The agent gets exactly the access the task needs.
Non-negotiableGuardrail Engineering
Approval gates on consequential actions, input/output validation, and hard limits the agent cannot talk its way past.
Non-negotiableEvals & Red-Teaming
A regression suite and adversarial tests that score the agent before launch and after every change. Quality in numbers, not adjectives.
Non-negotiableRun Operations
Step tracing, audit logs, cost monitoring, and alerting - so the 2 a.m. question "what did it do?" always has an answer.
Non-negotiableHow It Runs
Ten weeks, six checkpoints, no mystery.
- Pick the Workflow01 · Wk 1
One measurable workflow, one success metric, agreed in writing.
- Design the Cage First02 · Wk 1-2
Tool scopes, approval gates, and data boundaries before any agent code.
- Build & Wire03 · Wk 2-6
Agent loop, RAG, and integrations - working increments every sprint.
- Score It04 · Wk 6-8
Eval suite and red-teaming produce a number before real data ever flows.
- Go Live, Gated05 · Wk 8-10
Production on real work, with humans approving anything consequential.
- Earn Autonomy06 · Ongoing
Gates loosen only where the score says so. Expansion is a decision, not drift.
Compare Us Honestly
Vendor, freelancer, in-house, or us. Check every row.
The right path depends on what you're solving for. Tap a column to focus the comparison, or view all four side by side.
The Zetrixweb column is verifiable: Clutch profile, Upwork record, and the engagement terms we publish.
Held To In Writing
Our risk, not just yours.
The table above tells you what you get. These are the terms behind it - the parts that hold even after you sign.
Fixed-Price Scoping
The number from your free scoping call is the number you're billed. Anything outside scope gets a separate quote before we touch it - never a surprise line.
One-Business-Day Response
You email the engineer on your project, not a support queue. Every message gets a reply within one business day, every time.
No Silent Model Swaps
If a model or vendor changes mid-build, you're told and the eval suite re-runs before anything ships. Nothing changes under you without a number attached.
The Arsenal
Every major model. Zero vendor lock-in.
The same agentic AI stack, whichever models and frameworks your workflow needs.
Reasoning models
Anthropic
OpenAI
Gemini
Meta Llama
Mistral
CohereAgent frameworks
LangChain
LlamaIndex
Hugging Face
TensorFlowMemory & RAG
Pinecone
WeaviateRuns on your cloud
AWS
Microsoft Azure
Google CloudThe Range
Eight kinds of agents this process has produced - not a menu, a track record.
Every one of these was custom-scoped and built the same disciplined way you just read about, not assembled from a template.
Support & Ticket Agents
Triage, draft replies, and route escalations across your ticket queue - human approval on anything above a set risk threshold.
Triage › Draft › EscalateSales & Lead-Qualification Agents
Qualify inbound leads against your criteria, ask the right follow-up questions, and hand off only what's worth a rep's time.
Qualify › Score › HandoffDocument & Contract Agents
Extract terms, flag non-standard clauses, and route anything ambiguous straight to legal instead of a manual read-through.
Extract › Flag › RouteData & Reporting Agents
Pull from your existing systems, reconcile the numbers, and ship a report on schedule - no more manual exports.
Pull › Reconcile › ReportResearch & Monitoring Agents
Watch competitors, markets, or mentions continuously and surface only what's actually worth your attention.
Watch › Filter › AlertBack-Office Workflow Agents
Automate the repetitive multi-step processes - onboarding, invoicing, approvals - that eat a team's week.
Trigger › Execute › ConfirmEngineering Copilot Agents
Review PRs, draft tests, and chase down flaky failures - scoped to your codebase, not a generic assistant.
Review › Test › ReportCustom Multi-Agent Systems
Multiple specialized agents orchestrated around one workflow, for when a single agent isn't enough for the job.
Design › Orchestrate › DeliverAlready Carrying Load
AI we've shipped that's working right now.
Three of the eight types above, in production today - not illustrations.
Before You Ask
The questions that decide this. Straight answers.
Gartner projects over 40% cancellation by 2027, and the reasons repeat: nobody scoped one workflow, the agent had ungoverned access to systems, and there was no score to prove it worked. Every one of those is an engineering decision, not a model limitation. We make the opposite decisions on day one.
A live agent on one real workflow, with scoped tool access, a human approval gate on consequential actions, an evaluation suite with a baseline score, full audit logs, and documentation. All code and IP are yours. Typical pilots run 6-10 weeks.
Three checkable ways: we've never asked a client for a review (4.9 on Clutch, 66 unsolicited reviews across platforms), you interview the actual engineers before kickoff and get free replacement if someone isn't a fit, and you can trial us free for 7 days on a real task before spending anything.
Specialist support starts at $15/hour and dedicated squads from $1,000/month. A scoped agent pilot is typically a 6-10 week engagement, and most pilots land in the $8K-$25K range depending on integration count and eval depth; we quote it fixed after a free scoping call, and the estimate you get is the estimate we hold. Ongoing model-inference cost (the LLM API bill) is separate, scales with usage, and you see the actual number in the eval report before going live - never a surprise line item.
Anthropic, OpenAI, Gemini, Llama, and Mistral models; LangChain and LlamaIndex orchestration; Pinecone and Weaviate vector stores; MCP tool servers; plus eval harnesses and step tracing we run on every engagement. We pick per workload and you're never locked to one vendor.
That's the design. Autonomy is a dial: agents start human-gated on everything consequential, and gates loosen only where evaluation scores earn it. You always see the score before the gate moves.
Your data stays in your environment - we don't route it through a shared multi-tenant store. Every agent gets least-privilege, per-task tool scopes instead of a blanket API key, and you can narrow or revoke access at any time. Full audit logs attribute every action to a specific run, and a hard kill switch is part of the standard build, not an add-on.
Talk to an engineer. There is no salesperson.
One free call. You leave with an honest read on your workflow, a pilot scope, and a number - whether or not you hire us.