Beyond chatbots: autonomous AI agents that research prospects, draft outreach, update your CRM, monitor competitors and prepare reports, end to end. Every agent runs with human approval gates and full logging, built with the same engineering behind Viperatron and GPU Vendor.
Each agent is designed for a specific job in your business, with the tools and guardrails to do it safely.
Research prospects, draft personalized outreach, log every touch in your CRM and flag hot replies for your attention. Your pipeline fills itself.
Data entry, QA checks, invoice processing and system monitoring handled autonomously, with exceptions escalated to a human.
Triage incoming email, draft replies in your tone, answer the routine 80% and hand the rest to your team with full context.
Track competitors, prices, reviews and market news around the clock, and deliver digested briefings instead of raw noise.
Pull data from ads, analytics and your CRM, then write the weekly report a human would have spent half a day on.
The part most people skip: approval gates, spending limits, cost controls and audit logs designed before the agent touches anything real.
The question every owner asks: what stops it from doing something stupid? The answer is designed in from day one.
Quotes, refunds, publishing and anything customer-facing waits for a one-tap approval from you. Everything else runs free.
Every action, decision and cost is logged. You can replay exactly what the agent did and why, any time.
Hard caps on API spend and action frequency mean an agent can never run away with your money or your reputation.
We pick the task where an agent pays for itself fastest: high volume, clear rules, real hours saved.
What it can do alone, what needs approval, budgets and escalation rules, agreed before any build.
Built on GPT and Claude with secure access to your email, CRM, sheets and systems.
The agent runs with you watching every action for two weeks. Trust is earned with evidence.
Approved patterns become autonomous, new tasks get added, and monthly reviews keep it sharp.
A chatbot talks with customers. A workflow follows a fixed path you designed. An agent takes a goal, plans its own steps, uses tools like email and your CRM, and adapts when things change. Agents are the right choice when the task needs judgment across multiple steps, not just a script.
Yes, when guardrails are designed first, which is exactly how I build. Sensitive actions wait for your approval, spending has hard caps, every action is logged, and the agent starts in a supervised pilot before earning autonomy. Nothing customer-facing happens without a human saying yes until you decide otherwise.
High-volume, rule-friendly work with clear value: prospect research and outreach drafting, inbox triage, weekly reporting and competitor monitoring. We pick the one with the fastest payback for your business in the discovery call.
GPT and Claude for reasoning, with open-source models where data privacy or cost demands it. The architecture is model-agnostic, so your agent improves as models improve without a rebuild.
Build cost depends on the tools it needs to use and the guardrails required. Running costs are API usage, typically a fraction of the salary hours the agent replaces, and capped with hard budget limits. You get both numbers in a fixed proposal after discovery.
A focused single-task agent goes into supervised pilot in 3 to 4 weeks. Multi-tool agents with deeper integrations take 6 to 10 weeks including the pilot period.
Tell me the task your team dreads most. I will show you how an agent would handle it, what it would cost and what it would save. No lock-in contracts, reply within 24 hours.