BrandRamp.
08 — Agents

Agents that book meetings, qualify leads, and run plays.

You're here because

We'd bet one of these is yours.

Three moments we hear on almost every first call about ai agents. If one of them landed, that's usually where we'd start.

  • Your demo flow is a contact form and a 36-hour delay.

    Buyers who fill it out have already pinged two competitors. The qualified ones are gone by the time your AE replies. Your funnel data calls it a 'show-rate problem'. It's a speed problem.

    01 · First-touch · too slow

  • Your customer support inbox is buried.

    Tickets pile, the queue grows, churn happens at the edges. Half the questions could be answered by a doc on your site. The other half cool while your CS lead is at lunch.

    02 · CS bottleneck · daily

  • Every new hire takes 90 days to ramp.

    Onboarding by tribal knowledge. The same five questions asked across every new hire's first month. The senior people lose half a day a week answering them — and the new hires still feel lost.

    03 · Onboarding tax · permanent

If any of that landed, we're cooking the same dish.

Mise en place

The ingredients laid out before we cook.

The stack we reach for on this dish. Not religion — we'll swap in what your kitchen already runs if it fits.

Claude
Vercel AI SDK
Vercel KV
Cal.com
HubSpot
Slack
  • Claude
  • Vercel AI SDK
  • Vercel KV
  • Cal.com
  • HubSpot
  • Slack
What's in the dish

Production agents with tool calls, memory, and human-in-the-loop. Deployed on your site, in your CRM, or inside your product.

  • Custom tool-use design

  • Memory + escalation paths

  • Brand-voice prompts + evals

  • CRM, calendar, and inbox integration

This week, this dish

Two-week cycles. Real surfaces every Friday. You always know which stove we're on.

  1. Week 01

    Source

    Use case + tool design

    • What the agent should do — written as concrete tool calls
    • Escalation rules: when to hand off to a human
    • Success metrics: response time, qualification accuracy, etc.
  2. Week 02

    Prep

    Prompts + evals + memory

    • Brand-voice system prompt + tool-calling architecture
    • Memory strategy (Vercel KV / Upstash / persistent)
    • Regression eval suite stood up before any code lands
  3. Weeks 03–05

    Cook

    Build + integrations

    • Agent + tools deployed to staging
    • CRM, calendar, inbox integrations wired
    • Human-in-the-loop checkpoints for high-stakes actions
  4. Week 06

    Plate

    Deploy + tune

    • Production launch behind a feature flag
    • First-week traffic monitored in real time, prompts tuned daily
    • Evals re-run nightly
  5. Weeks 07+

    Serve

    Operate + expand

    • Quarterly model upgrades + prompt retests included on retainer
    • New tool calls / new surfaces added as you grow
Investment

Agent builds are scoped — pricing depends on surface count and tool complexity. Most teams start with one agent, prove the lift, expand.

  • Starter

    Site agent (the one on this site)

    $8,500

    / one-time + ongoing

    Configured for your services + your CRM. Most install in under two weeks.

    See on the menu
  • Most ordered

    Main

    The Sous Chef

    from $18,000

    / 4–8 week engagement

    Production agent with custom tool calls, memory, evals, and human-in-the-loop. Deployed on whichever surfaces matter.

    See on the menu
  • Pair

    + The Prep Line (Automations)

    from $14,000

    / combined monthly

    The agent decides; the automations execute. The pair that replaces the most expensive operational hires.

Every engagement is quoted before it's confirmed. These are starting points, not contracts.

What you bring

The counter-prep. Light list — heavy when missing.

Agents are only as good as the access they have. Bring:

  • 01Credentials for the systems the agent will act in (CRM, Cal, Slack, etc.)
  • 02Knowledge base / FAQs / docs the agent should ground in
  • 03Brand voice doc — agents are the loudest brand surface you've shipped
  • 04Escalation rules: who gets the ping when the agent hands off
  • 05An ops owner for the first 2 weeks of tuning

The team built the agent that now handles every inbound demo request. It books, qualifies, and hands off cleaner than my SDR did — and the audit trail means I sleep at night.

Head of Growth

Marketplace · Series B

The Recipe — universal

From a one-week audit to a full build, the cadence is the same.

  1. 01 · Source

    Discover

    Audit current state, identify the highest-leverage moves, set the scoreboard.

  2. 02 · Prep

    Architect

    Map the system: content model, data flows, integrations, agents, evals.

  3. 03 · Cook

    Build

    Ship in two-week increments. You see real surfaces, not slide decks.

  4. 04 · Plate

    Launch

    Quality bar: performance, accessibility, brand voice, schema, observability.

  5. 05 · Serve

    Scale

    Operate, measure, and compound — or hand off a system your team can run.

Stop us if you've thought any of this

We've heard it. Here's the real talk.

The three doubts that come up on every first call about ai agents. You're not the first to think them — and you're not wrong to.

  • You've thought

    Agents hallucinate. We can't put one on our site.

    Real answer

    Tool-bound agents don't hallucinate — they can only act through defined tools. Plus regression evals on every release. Plus human-in-the-loop for high-stakes actions. The agent we'd build for you has more guardrails than your last junior hire.

  • You've thought

    Customers don't want to talk to an AI.

    Real answer

    They want their question answered fast. The agent handles routine, escalates the real ones in under 15 seconds. Net result: higher CSAT, not lower. The data on this is overwhelming once you ship it.

  • You've thought

    Our use case is too specific for an agent.

    Real answer

    That's exactly when custom agents beat chatbots. Off-the-shelf is for off-the-shelf use cases. The more specific your workflow, the more leverage a tool-bound agent gives you over a generic LLM call.

Got a fourth? Bring it to the call.

Asked & plated

Most-asked, here.

What's the difference between an agent and a chatbot?
+
A chatbot answers. An agent acts. Our agents have tool calls, persistent memory, and human-in-the-loop escalation — they book the meeting, write to the CRM, send the follow-up, and know when to hand off to a human.
Where do you deploy agents?
+
On your site, in your CRM, inside Slack, on WhatsApp, in your product. The agent core is portable — we wire the surfaces it lives on.
How do you prevent agent hallucinations?
+
Tool-bound architectures (the agent can only act through defined tools), grounded retrieval, deterministic guardrails, and regression evals on every release. Plus human-in-the-loop confirmation for high-stakes actions.

Yes Chef.

See the agent play.

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