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New technical whitepaper<br>AI can challenge SaaS. That does not make enterprise software simple.<br>We used Buzzy Builder MCP through Codex to build a working sales incentive and planning prototype in days. The result is a practical test of what AI changes—and what it does not.
Is the SaaSpocalypse Real? examines a category where effective-dated plans, commissions, approvals, reconciliation, disputes, and payroll-adjacent controls make superficial demos easy to spot.<br>Download the whitepaper Read the analysis
~2,900 lines of customer-specific code in the working Buzzy prototype<br>Approximately 932 lines powered the deterministic mock data service; roughly 2,000 lines covered narrow chart and calculation-waterfall widgets.<br>Delivery approach Estimated code surface<br>Conventional custom build 50,000–129,000 lines<br>Buzzy prototype Approximately 2,900 lines<br>Directional prototype-equivalent comparison, not a total-cost benchmark. The Buzzy figure counts the customer-specific code created for this scope, not Buzzy’s platform implementation. Real production hardening and operational costs remain.
What the test showed<br>The hard work became inspectable earlier
Five role-based experiences, 29 managed and remote data tables, live charts, seller statements, approvals, exceptions, reconciliation, and calculation evidence could be reviewed as a connected system—not just admired as static screens.<br>Most requirements, flows, data, screens, permissions, and workflow state remained visible as managed application artifacts. Custom code was concentrated in the specialised edges.
Inside the paper<br>A serious category, tested without the theatre
A difficult test case<br>Sales incentive planning combines source-system ambiguity, changing rules, sensitive compensation data, approvals, and calculations that must be reproducible.
One governed model<br>Seller, manager, operations, finance, and executive experiences share the same app definition while exposing the right workflow and data for each role.
Bounded custom code<br>Code remains where it earns its keep: deterministic integrations, specialised visualisations, and calculation execution.
Explicit limits<br>The prototype does not prove payroll accuracy, production-scale performance, full security hardening, or lower multi-year total cost of ownership.
Read the field test.Then challenge the conclusion.<br>Download PDF Read the article
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