HomeVera › Why not just use Claude?

Positioning

Vera is not trying to beat Claude. Quotarider runs on it.

This is the question we get most, and the honest answer is that it is the wrong comparison. A general assistant is a brilliant thinker with no hands. Vera is the hands — attached to your pipeline, with write access you granted and an approval gate you control.

The false choice

You are not picking between them.

Connect an Anthropic or OpenAI key and that is the model answering inside Quotarider — at half our normal rate, billed by your provider at your negotiated price, with nothing added by us. The question was never which model. It is what the model is allowed to touch.

A general assistant, in its own tab
  • Knows nothing about your pipeline until you paste it
  • Cannot write a stage change, log a call, or stop a sequence
  • Forgets the deal the moment the thread ends
  • Answers about the data you remembered to include
  • Every question costs a model call
  • Genuinely better at open-ended reasoning and writing
Vera, inside the database
  • Reads live from your deals, mailboxes and invoices
  • Writes back — drafted for you to confirm first
  • Remembers the account across every conversation
  • Answers from the whole record, not the part you pasted
  • 73 of 106 commands never reach a model at all
  • Will not write your board deck or debug your code

Both columns have a red mark, because both are true. We use general assistants every day. They are not a CRM, and pretending otherwise would waste your month.

The part nobody mentions

Most of what you ask does not need a model.

“What is my pipeline worth?” is arithmetic. “What is stalled?” is a date filter. “What is my win rate?” is division. Routing those through a language model is slow, costs money per question, and can be wrong about numbers — which is the one thing it must never be.

73commands are pattern-matched on your own server. No key, no call, no per-use cost, and the answer is computed rather than generated.
33genuinely need a model — writing a sequence, reading intent in a reply, summarising a thread. That is where a model earns its cost.
0times your contact list is sent anywhere to answer the first group. Counting your pipeline does not require shipping your pipeline.
The agents

Why ours, and not an agent you wire together yourself.

You can build something like this. People do — a workflow tool, a model, a webhook, a weekend. Here is honestly what changes when the agent lives inside the system it is acting on.

It reads the schema, not a scrape

An agent bolted on through an API sees whatever that API exposes. Ours query the same tables the product does — deal, invoice, mailbox, reply — so “paid” means the invoice cleared, not that a field somewhere said so.

Integrations drift. Same-database does not.

It is benchmarked against you

Deal Risk scores against your own closed history, not an industry curve. Your 40-day cycle is normal for you; a generic model calls it stalled and floods you with alerts you learn to ignore.

An alert you ignore is worse than no alert.

It asks before it acts

Every agent drafts and holds. Nothing sends on your behalf unless you set that agent to autonomous, per sequence, deliberately. A wired-together agent usually has exactly one setting: on.

The failure mode of autonomy is an apology to a customer.

It stops when the goal is met

Journeys carry a goal. Book a meeting and the contact exits immediately rather than receiving the next three nurture emails as though nothing happened. That coordination is hard to bolt on because it needs to see every send path at once.

The common way automation embarrasses you is continuing after it worked.

Four of six need no model

Reply Triage, Lead Prioritizer, Deal Risk and Pipeline Coverage run on your server. Build the same thing on a general agent platform and every one of those becomes a metered API call, forever.

Per-use cost is what quietly kills a homemade agent.

Somebody maintains it

Providers deprecate models, change rate limits and rewrite response formats. When that happens here it is our problem. When it happens to your weekend build it is a Tuesday morning.

The build is a day. The upkeep is the job.

What we do not claim

Where a general assistant is simply better.

  • Open-ended reasoning. Ask a hard strategic question with no clean answer and you want Claude or GPT, not a command surface with 106 verbs.
  • Long-form writing. Vera drafts sequences well because the format is narrow. It will not write your investor update.
  • Anything outside revenue. There is no engineering, legal or design mode. That is not modesty, it is scope.
  • Frontier capability. We do not train models. Whatever your provider ships, you get, the day you point a key at it.

If the honest answer to your question is “use Claude for that”, Vera says so. An assistant that pretends to be able to do everything is the reason people stop trusting assistants.

Try it against your own data

Ask it something your CRM cannot answer.

Fourteen days, no card. Connect a mailbox and ask which sequence actually got paid.

AI keys & billing

You never have to bring a key. It just costs less if you do.

Most tools either resell you AI at a markup or refuse to run without your own key. Neither is necessary, so we do neither.

Included

Our workspace key

Every plan from Intelligence up runs the assistant and the agents on our key. Nothing to configure, no provider account, no separate bill to reconcile.

This is the default. If you do nothing, this is what happens.

Half rate

Your own provider key

Connect a key and your workspace key takes priority over ours — and we charge half. The model bill goes to your provider at your negotiated rate, with nothing added by us.

If you already have committed spend with a provider, this is strictly cheaper.

No model

Neither, for most of it

Four of the six agents never reach a model at all, and most assistant commands are pattern-matched on your own server. Counting your pipeline does not require sending your pipeline anywhere.

No key, no per-use cost, no third party in the path.