01
Discover
Capture workload, privacy, uptime, budget and operational constraints before comparing products.
Agent Infrastructure Recommendation Kit
Stop guessing which AI infrastructure to buy.
Use a repeatable six-step system to size the workload, compare local vs. cloud options, document the evidence, and produce a recommendation you can defend before you commit to hardware or hosting.
One-time $19 purchase · editable templates and PDFs · delivered through Whop
Know what you are buying
What's inside the $19 Kit
Five editable DOCX worksheets, matching PDF versions, and a Start Here guide. These are decision-making templates, not a hosted app or a promise that one provider fits every workload.
Worksheet 1
Discovery requirements
Record the workload, privacy constraints, uptime, ownership and unknowns.
Worksheet 2
Capacity planning
Keep model, context, memory and concurrency assumptions visible.
Worksheet 3
Infrastructure fit
Compare local, VPS, GPU cloud and hybrid candidates against the same requirements.
Worksheet 4
Evidence validation
Separate provider statements from calculations, measurements and unresolved claims.
Worksheet 5
Deployment recommendation
Document the selected option, fallback, risks and next validation actions.
Preview the decision trail
Illustrative example of how the worksheets connect; not a measured benchmark or a real client result.
REQ-001: Agent must be available continuously. → CAP-001: Estimate memory and uptime needs. → DEC-001: Compare viable hosting options. → EVD-001: Record which claims still need verification.
This is the difference between a provider list and a decision record that can be revisited when requirements change.
Get the Recommendation Kit — $19No recurring subscription for this Kit.
The expensive mistake is not choosing the second-best GPU. It is buying infrastructure before the workload, memory requirement, operating constraints and evidence are clear.
The Kit turns scattered research into one auditable workflow. It is designed for people making real deployment or purchasing decisions—not for generating a generic “best server” answer.
The six-step method
Discover → Size → Decide → Prove → Validate → Deliver
02
Size
Turn model, memory, context and concurrency assumptions into explicit capacity requirements.
03
Decide
Compare local hardware, VPS, GPU cloud and hybrid architectures against the same requirements.
04
Prove
Separate verified facts, calculations, vendor claims and unknowns in an evidence ledger.
05
Validate
Check the assumptions that could make the recommendation fail before money is committed.
06
Deliver
Turn the work into a clear recommendation that records tradeoffs, alternatives and next steps.
Who this is for
Builders, consultants, technical buyers and teams deciding how an AI workload should run—and anyone who needs to explain why that architecture was chosen.
What it does not do
It does not invent benchmarks, pretend vendor claims are independent evidence, or give one universal “best” architecture. The method keeps assumptions and uncertainty visible.
Use it with the free AIG tools
Use the free calculators to answer individual questions; use the Kit when the individual answers need to become one infrastructure decision.
Make the infrastructure decision before the infrastructure purchase.
Work through the same requirements, sizing, comparison and evidence process every time—then keep the reasoning with the recommendation.