How Thavage turns a project description into a cost benchmark
This is the trust page. It explains what the estimator measures, how it prices work, where confidence comes from, and the kinds of projects where you should still follow the output with human scoping.
What Thavage Measures
Thavage is a planning benchmark for AI-assisted software work. It estimates what a traditional team would likely invoice for the work you described, then compares that to the leaner AI-assisted path.
It is strongest on MVPs, internal tools, marketing sites, dashboards, data workflows, and scoped product builds where the features, integrations, and delivery context are reasonably clear.
- Core product features and application logic
- Front-end implementation, design, and responsive UX work
- Back-end APIs, databases, auth, billing, and integrations
- Operational work like deployment, QA, documentation, and launch tasks
How Inputs Turn Into A Benchmark
The estimator parses your description into likely components, maps those components to traditional roles, assigns conservative effort bands, and prices them with a fixed US-market rate table.
More detail improves the estimate. Features, integrations, data complexity, compliance needs, and delivery constraints all push the number toward a defensible scope instead of a vague guess.
- Short prompts produce lower-confidence ranges
- Uploaded files improve scope detection because they ground the estimate in actual code and project docs
- Prospective mode converts the same logic into a DIY year-one budget instead of a retrospective invoice
- Modern Agency Cost applies a deterministic partner-delivery benchmark to the same scoped project plan
What Increases Or Decreases The Number
The biggest cost drivers are usually integrations, data work, production hardening, multi-role coordination, and the amount of polished surface area you expect from the product.
The number drops when the project is tightly scoped, single-operator friendly, and mostly built from common SaaS patterns instead of bespoke workflows.
- More auth states, billing paths, admin tooling, and file handling increase complexity
- Data ingestion, analytics, search, and event flows add non-trivial backend cost
- Design systems, polished motion, copywriting, QA depth, and documentation still count as real work
What Thavage Does Not Pretend To Be
Thavage is not a signed quote, procurement document, or fixed-price agency proposal. It is a scoping benchmark meant to help founders and operators reason about leverage.
If you are pricing a multi-team enterprise program, regulated transformation, or multi-year roadmap, treat the output as a planning floor and follow it with human scoping.
- Not included by default: media spend, sales, legal entity setup, hosting at scale, and long-term maintenance
- Rare edge cases, heavy compliance review, security audits, and bespoke infrastructure are usually under-described by first-pass prompts
- If you need a board-ready budget or statement of work, use the estimate as an input, not the final artifact
Confidence And Accuracy
Confidence depends on specificity. Named integrations, expected scale, technical stack, and examples of the user journey all improve the benchmark.
If the estimate matters, rerun it with better detail and at least one code or config file. The sprint value comes from iteration, not from pretending the first number is magic.
- Use quick mode for fast benchmarking and guided mode when you need help pulling scope out of your head
- Use repeat runs to tighten the estimate as the project becomes clearer
- Use examples and FAQ pages as calibration material before sharing the result externally
Fixed Rate Table
Thavage uses a locked US-market rate table so the benchmark stays consistent across runs and does not quietly drift with every prompt.
Use the estimator responsibly
The right workflow is: run a fast benchmark, tighten the prompt, compare against the example reports, and only then use the output in a hiring or budgeting conversation.
Read next
Use the live estimator once you have enough detail to name the features, integrations, and constraints. Then compare your result with the example reports on this page.
Run Thavage