# Vector

> Vector help center: how to go from an idea to a competitive product — competitor research and comparison, monitoring, financial modeling and product planning.

- [What Vector is](https://docs.getvector.me/getting-started/what-is-vector.md): Understand what Vector does for a founder and in what order to use it.
- [How Vector works](https://docs.getvector.me/getting-started/how-vector-works.md): See how the parts of Vector connect: from one line about your product to a catalog of your market's features, and from there to the work you plan.
- [Set up your workspace](https://docs.getvector.me/getting-started/set-up-your-workspace.md): Work through the ten setup steps, from your AI key to your first competitor comparison and economics model.
- [Connect an AI provider](https://docs.getvector.me/getting-started/connect-a-provider.md): Add an API key for each provider you want to use, enable them, and see where Vector decides which model runs what.
- [Describe your product](https://docs.getvector.me/getting-started/describe-your-product.md): Write one line about what you're building, let AI draft the full description, and approve it — everything else in the product is built on it.
- [Add competitors](https://docs.getvector.me/competitors/add-competitors.md): Build the list everything else works from: add competitors by hand, let AI find them, and sort them into a short and a long list.
- [Competitor dossier](https://docs.getvector.me/competitors/competitor-dossier.md): Everything Vector knows about one competitor, on one page: research how their product is built, collect their public sources, watch them for changes, and track their prices and features.
- [Compare competitors](https://docs.getvector.me/competitors/compare-competitors.md): See which competitor has which feature and how good their version is, fill and correct the comparison, and find your gaps against one competitor.
- [Working with AI documents](https://docs.getvector.me/competitors/ai-documents.md): Read AI-generated analyses comfortably, annotate them, send feedback for a revision, compare versions, and approve a final version.
- [Files in a dossier](https://docs.getvector.me/competitors/dossier-files.md): Attach your own files to a competitor or feature dossier, use them in research, and find them again when you need them.
- [Competitor content archive](https://docs.getvector.me/competitors/content-archive.md): Save a competitor's help center or changelog as a complete copy, read it inside Vector, and see exactly which pages changed over time.
- [Features in your domain](https://docs.getvector.me/features/features-in-domain.md): See every feature your market offers in one catalog, mark what you already have, and research or tidy up many features at once.
- [Feature dossier](https://docs.getvector.me/features/feature-dossier.md): Find out everything known about one feature, fill the gaps with research, check how each competitor does it, and decide whether it belongs in your product.
- [Candidates](https://docs.getvector.me/features/candidates.md): Review what research found before it becomes a feature: attach each candidate to an existing feature, turn it into a new one, or dismiss it.
- [Product map](https://docs.getvector.me/features/product-map.md): Give your feature catalog a structure of clusters and areas, let AI propose one, and see where you stand in each part of your product.
- [Duplicates and merging](https://docs.getvector.me/features/duplicates-and-merging.md): Find features and candidates that describe the same capability, and merge them so each capability is counted once.
- [Meeting analysis](https://docs.getvector.me/features/meeting-analysis.md): Add transcripts and tickets from sales, research and support, and let AI connect what customers said to your features.
- [Plan a delivery cycle](https://docs.getvector.me/delivery/plan-a-delivery-cycle.md): Decide a feature belongs in your product, and start the delivery cycle that takes it through to dev-ready artifacts.
- [Delivery preparation](https://docs.getvector.me/delivery/delivery-preparation.md): Move delivery cycles through configurable stages, let AI draft a spec, plan and tasks along the way, and approve the work before it reaches your developers.
- [Roadmap](https://docs.getvector.me/delivery/roadmap.md): Put delivery cycles on a timeline, drag them to reschedule, and connect the ones that depend on each other.
- [Put a competitor under monitoring](https://docs.getvector.me/monitoring/set-up-monitoring.md): Choose which of a competitor's sources to watch, turn monitoring on, set how often Vector checks, and run a check whenever you want one.
- [Read check results](https://docs.getvector.me/monitoring/read-check-results.md): Catch up on what your competitors changed, look into a single check, spot the checks that failed, and see what monitoring costs.
- [Automatic re-evaluation](https://docs.getvector.me/monitoring/automatic-re-evaluation.md): Let Vector refresh your feature comparison and dossier automatically when monitoring detects a competitor release.
- [Finding confidence and feedback](https://docs.getvector.me/monitoring/finding-confidence.md): Judge how much to trust a monitoring finding, resolve the ones held for review, and tell Vector when a finding was wrong so detection improves.
- [AI usage and cost](https://docs.getvector.me/ai/ai-usage.md): See what your AI work has cost, who or what spent it, what a single call cost, and how spend is kept separate per workspace.
- [Choose a model per function](https://docs.getvector.me/ai/model-per-function.md): Route every AI function at once with a strategy preset, pick a model for a single function by hand, and fix a function that's flagged.
- [Connect web scrapers](https://docs.getvector.me/ai/web-scrapers.md): Enable the scraping services monitoring falls back on, order them cheapest first, test the chain, and set how much corroboration a change needs before you trust it.
- [Members and roles](https://docs.getvector.me/account-and-team/members-and-roles.md): Invite people into a workspace, give them the right level of access, and manage them afterwards.
- [Signing in](https://docs.getvector.me/account-and-team/signing-in.md): Create an account, choose how you sign in, and get back in when you forget your password.
- [Workspaces](https://docs.getvector.me/account-and-team/workspaces.md): Keep each company or product in its own workspace, with its own data and its own AI key.
- [Start a project from a template](https://docs.getvector.me/modeling/start-from-a-template.md): Create a financial model from a built-in template, pick the starting numbers, and keep it on the latest version of its template.
- [Record actuals and forecast from them](https://docs.getvector.me/modeling/actuals-and-forecast.md): Enter what really happened month by month, compare it with the plan on the chart, and let the forecast pick up from reality.
- [Assumptions and dashboard](https://docs.getvector.me/modeling/assumptions-and-dashboard.md): Change the assumptions behind your model, let AI suggest grounded values, see where the plan leads over 36 months, and work back from a goal.
- [Scenarios](https://docs.getvector.me/modeling/scenarios.md): Try several plans for the same business side by side — a base case, an aggressive push, a cautious fallback — each as its own project.
- [Snapshots and forecast accuracy](https://docs.getvector.me/modeling/snapshots-and-accuracy.md): Freeze a forecast in time, compare it against what actually happened, and track whether your forecasting is getting better across snapshots.
- [Unit economics and pricing](https://docs.getvector.me/modeling/unit-economics-and-pricing.md): Work out what it really costs you to serve a customer, see the standard cost-per-unit metrics, and compare pricing strategies for your own AI product.