Sovereign Agent DFY
If the mastermind dates do not work for you, Sovereign Agent DFY is the standalone deployment of the same hardened, cloud-native Sovereign Agent. We deploy into your cloud - AWS, GCP, or Azure. You take over operations. Same deliverables as the in-person cohort.
Built by the team operating Prospectr's own production agent across 225+ clients.
In plain English
Sovereign Agent is an Agentic Employee. Hire it once, it works forever. It does the work that falls through the cracks - A/R follow-up, proposal drafts, meeting recaps, inbox triage, report filing. It runs on your cloud, not ours. The technical detail is below if you want it.
What you get
Sovereign Agent DFY is for operators who want the agentic employee but cannot make the working session dates. Our deployment engineering partner runs the deployment over a scheduled window in your cloud account. You and your team participate via Telegram and a small number of working sessions, but you do not need to be in Grand Haven.
The deliverables are identical to the mastermind cohort. The pace is slower to fit your calendar. The price reflects the dedicated deployment time.
Deliverables
What makes this different
100% customer-owned runtime
Your Sovereign Agent deploys to your cloud account (AWS, GCP, or Azure), secured to your standards. Your data never leaves your environment. No "they changed the pricing" risk. You can pull our keys at any time and keep operating.
Capability, not a subscription
Most providers run the agent for you. We teach your team to run it, on a hardened version of the same open framework large operators are deploying. The skill silos are modular, and you train them in plain English from Telegram.
Lived operating experience, not a thesis
This is not theoretical. The same architecture runs Prospectr's own production agent today across finance, marketing, web, AEO, voice, and operations. You are buying lived operating experience from a team that runs it on themselves first.
The architecture
Operator instructions arrive via Telegram. The orchestrator routes work to skill silos. Skills read and write durable state. Approval gates and audit logs sit on top of every high-stakes action. The whole thing runs in your cloud account.
Telegram or Slack. Customer chooses at deploy.
For the technical deep-dive, see the Sovereign Agent Security Baseline.
The economics
At a fixed $25,000 six-month outlay, a Sovereign Agent offsets a conservatively-estimated $94,200/year of fully-loaded labor capacity across your business. Base case is $204,000/year. These are planning estimates from 2026 market benchmarks - not guarantees. The conservative column anchors every headline below.
| Skill / Role | Work absorbed | Conservative / yr | Base / yr |
|---|---|---|---|
| AI Voice - always-on secretary | Inbound handling, after-hours, callback dispatch, calendar/CRM booking | $7,200 | $24,000 |
| Accounting | AR/AP, bank-feed categorization, multi-entity reconciliation, clean books | $12,000 | $24,000 |
| CFO - cash & decisions | Cash-position cadence, dunning on aged AR, financial flags with a recommendation | $18,000 | $36,000 |
| BI Dashboard - analyst | Daily KPI pulls, multi-source attribution, weekly decision email, anomaly flags | $9,000 | $18,000 |
| Marketing - coordinator | Campaign monitoring, content/AEO ops, drift caught before spend leaks, recaps | $18,000 | $36,000 |
| Sales - BDR / AM | Same-hour lead response, qualification, proposal drafting and send, follow-up sequences | $18,000 | $36,000 |
| GM - ops admin | Inbox triage, client onboarding, meeting recaps with task creation, report filing | $12,000 | $30,000 |
| Total annualized labor offset | $94,200 | $204,000 | |
Revenue upside - not counted above. The ROI figures use cost offset only. In practice the Voice and Sales skills also recover leads lost today - after-hours inbounds, voicemails that never get a callback, form fills that go cold before anyone replies. Recovering one job per month at a $3,000 average ticket adds $36,000/year gross - more than enough to cover the entire annual program cost on its own, before any labor savings.
Labor figures are 2026 US fully-loaded market rates (base salary plus ~30% payroll tax and benefits, or prevailing outsourced-service pricing). These are planning estimates for decision support, not a guarantee of results. Annual cost of ownership (~$46,000 annualized) includes program fees plus estimated customer-owned cloud and model-inference spend of $300-800/month - billed directly by your cloud provider, never by us.
How the engagement runs
Discovery call, cloud access verification, role-mapping workshop. We map your top six candidate functions and select the first one to three skills to deploy. You complete the same pre-event checklist the cohort uses.
Our deployment engineering partner provisions infrastructure, IAM, and secrets in your cloud account. The orchestrator and selected skill silos go live. We work through calendar-friendly working sessions over Telegram, screenshare, and async.
Your team runs the Sovereign Agent in production with our shadowing. We document your daily operating rhythm, escalation paths, and recovery procedures. You leave with a 30/60/90 day roadmap and an open line for follow-on work.
Pricing
100% on engagement start. Cancellation and refund terms are governed by the Sovereign Purchase & Engagement Agreement - full refund up to 30 days before deployment kickoff; 50% from 15-30 days; non-refundable inside 14 days but transferable to a future deployment slot.
one-time deployment
One specialized agent, deployed in your cloud
one-time deployment
Up to 4 specialized agents with orchestration, hardened VPC
10 hours per month of skill development, infrastructure maintenance, and operational tuning. Month-to-month. Add it now or after deployment closes.
Talk through the retainerAfter purchase you receive a one-time intake link to complete the deployment questionnaire (25-40 min). Production SLA starts from intake submission.
How it thinks and what it costs
Sovereign Agent does not run every task through the most expensive model. It decomposes goals into typed steps, routes each step to the appropriate capability tier, and only escalates to frontier reasoning when the task demands it. Cost is governed at the architecture level.
Strategic analysis, client-facing copy, accounting decisions, architecture reviews. Used when quality of reasoning is the constraint, not cost.
Anthropic API direct - latest available model
Inbox triage, lead classification, campaign monitoring, data processing, draft generation. Fast, capable, and cost-efficient at volume.
In-account AI (AWS Bedrock / Vertex AI / Azure AI) - customer-owned
Heartbeat checks, status polls, pre-filter classification, structured data extraction. Deterministic scripts run outside the LLM entirely when no reasoning is needed.
In-account AI - sub-cent per run, your cloud, your bill
Every Sovereign Agent skill runs against a structured markdown prompt contract. The contract defines: what the skill is permitted to do, what output shape it must produce, what triggers human review, and what the escalation path is. Guardrails are human-readable, version-controlled, and testable. When behavior changes, the prompt contract changed - and you can read exactly what changed.
The operating model
Every non-trivial request goes through the same four-step loop. Not as a marketing claim — as a hard architectural constraint baked into the agent runtime. This is what separates orchestrated agents from chatbots that tell you what they intended to do.
Every goal is broken into explicit sub-goals before any action is taken. The plan is surfaced to the operator when scope warrants. Nothing runs on a vague directive.
Each sub-goal is routed to the right node: main agent inline, sub-agent for parallel work, scheduled job for recurring tasks, human for judgment calls. Routing is auditable.
Before declaring done, the agent runs up to three reflection cycles. Cycle 1: did I solve the actual problem or the surface symptom? Cycle 2: is the verification real? Cycle 3: what did I miss? Stops early when a cycle finds nothing.
Done means the work is verified against the system of record, the artifact is durable, and residual risk is named. Not: the agent said it did the work.
Quality gate: k-vote
On consequential tasks — client-facing copy, financial entries, lead classification, bulk data operations — the agent generates k independent completions for the same task, scores them against the skill rubric, and either accepts the consensus answer or flags divergence for a reflection cycle. When k completions disagree, that disagreement is surfaced to the operator rather than resolved arbitrarily. The operator's resolution updates the rubric for the next run. One generation with no vote is a chatbot. k generations, scored, with divergence detection is a quality gate.
DFY vs Mastermind
TAKE THE FIRST STEP
Reserve a deployment slot or book a discovery call to scope the engagement against your cloud and the role you want agentified first.