Vector Agents

Agents that do the work — with guardrails that hold.

Multi-step, tool-using agents that take real action across your stack. Every plan is bounded, every action is logged, and a human can approve or unwind anything that matters.

Vector Agents · run #4129

running

Active agents

Refunds · Tier 1

14 runs · 24h99.2%

Lead enrichment

87 runs · 24h98.6%

Onboarding · email

23 runs · 24h100%

Content moderation

412 runs · 24h99.8%

Policy

Approval > $400
Toolstyped
Auditall logged

Run · Refunds · Tier 1

c_8821 · ticket #t_3917
  1. plan

    Plan · 3 steps · scope=refunds

  2. tool

    lookupAccount(customer_id=c_8821)

    Returned: plan=growth · tenure=14m

  3. tool

    getRecentCharges(customer_id=c_8821, days=30)

    Returned: 3 charges · $487.20 total

  4. gateapproved

    Approval required · refund > $400

    Approved by ops@acme · 11s

  5. tool

    issueRefund(charge=ch_q4u2, amount=$429.50)

  6. log

    Audit · evidence stored · ev_29a8

Run summary

Steps6
Approvals1 / 1
Tools called3
Duration12.4s

Reversibility

Refund reversible · 24h window

Audit

ev_29a8 · linked to control AC-7
Typed boundaries · approval gate held · audit trail intact

100%

actions logged

Typed

tool boundaries

Approve

or auto-run, your call

Unwind

paths on every step

In production

Plugged into LYZN.AI workflows.

Vector Agents runs inside LYZN.AI’s LyznFlow — a visual workflow platform where AI agent nodes orchestrate real work, on mobile and beyond.

Customer

LYZN.AI

LyznFlow

Visual AI workflow automation · mobile-native

Visit site

Agentic nodes inside a visual workflow.

LYZN.AI’s LyznFlow lets teams compose visual workflows with AI agent nodes, custom tools, and a marketplace — designed to live close to your daily context on mobile. Vector Agents powers the agent nodes themselves: multi-step planning, typed tool calls, approval gates, and audit trails — so what runs in a LyznFlow looks production-ready, not prototype-ish.

Pick an agent, provide minimal input, and get the result. The visual layer is great; the engine behind it has to be reliable. That’s the part Vector Agents handles.

LYZN.AI · LyznFlow team

Visual

workflow nodes

Typed

tool boundaries

Audit

trail per run

Guardrails

The five things that stop an agent from doing something stupid.

Agents in production fail in predictable ways. We engineer for those — not hope they don’t happen.

01

Bounded scope

Depth, time, and budget caps. Agents can’t recurse forever or burn the budget.

02

Typed tools

Every tool has a schema. Inputs validated, outputs checked. Nothing free-form.

03

Approval policies

High-impact actions require a human signature. Defined in code, reviewable.

04

Eval gates

New agents and new tools ship through an evaluation suite. Regressions blocked.

05

Live monitoring

Plans, tool calls, and outputs are logged. Failures reviewed, not silenced.

Capabilities

What you get out of the box.

Built and operated by engineers — not a chatbot framework you stitch together yourself.

Multi-step planning

Agents decompose work, choose tools, and sequence steps — bounded by depth, scope, and budget you set.

Typed tool boundaries

Every tool has a schema. Inputs are validated; outputs are checked. Agents can’t call what isn’t exposed.

Approval & auto-run policies

High-impact actions require a human; low-risk ones run on their own. Policies live in code and are reviewable.

Full audit trail

Every plan, tool call, input, output, and decision is logged with cryptographic ordering — not opaque LLM logs.

Reversibility paths

Where the underlying API supports it, agent actions are designed to be unwound. Where it doesn’t, we require explicit confirmation.

Evals before production

New agents and new tools ship through an evaluation gate — regressions blocked at the door, not discovered by users.

How it works

From scope to live runs.

01

Scope

We pick a workflow worth automating end-to-end. The blast radius and recovery story are designed before the agent is.

02

Wrap

Your tools are wrapped with typed schemas, rate limits, and approval policies. Sensitive ones require human sign-off.

03

Drill

The agent runs against an evaluation suite covering happy paths, ambiguous inputs, and adversarial scenarios.

04

Ship & monitor

Live traffic flows through dashboards built for engineers, not just product managers. Failures are reviewed, not silenced.

Use cases

Where teams put it to work.

01

Operations automation

Refunds, account adjustments, and ticket resolution that follow your policy — with human approval where money or risk is involved.

02

Sales & lifecycle

Lead qualification, enrichment, and personalized outreach grounded in your CRM and product data, not a public scrape.

03

Internal copilots

Workflows for finance, HR, or engineering that agents can run end-to-end with audit trails your auditors will accept.

Frequently asked

Honest answers.

No certification claims, no marketing fluff. If we don’t do something, we say so.

Bounded scope, typed tools, approval policies for high-impact actions, evaluation gates before deploy, and live monitoring after. No single safety mechanism — layered defense.

Get started

Ship agents that don’t scare your auditor.

A 30-minute call with a engineer. We’ll pick a workflow, sketch the guardrails, and show you the run timeline before any code is written.