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AI Agents

Production AI agents — on your data, in your stack.

Custom AI agents for sales, support, research, and operations — built on OpenAI, Anthropic, and open models, deployed to your stack with guardrails.

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60+
Avg. manual hours reclaimed / week
40+
Agents in production
GPT · Claude · Gemini · Llama · Mistral
Models supported
Real-time personalization

What is a real-time AI content personalization agent?

A real-time AI content personalization agent is software that evaluates a visitor's current context, chooses the most relevant approved message or experience, and activates it while the interaction is still happening. Unlike a fixed rules engine, it can reason across live behavior, CRM attributes, product usage, and content metadata while staying inside defined brand, privacy, and approval guardrails.

01

Read live signals

Combine consented website behavior, campaign source, CRM stage, product activity, and content history into a usable decision context.

02

Choose the next experience

Select an approved headline, proof point, offer, recommendation, or follow-up path based on the visitor's current intent.

03

Activate across channels

Personalize website modules, lifecycle messages, sales follow-up, and in-product guidance through your existing CMS, CRM, and automation stack.

04

Measure and govern

Log every decision, enforce consent and eligibility rules, route sensitive cases for human approval, and evaluate lift against a control experience.

Why teams hire us for ai agents

Agents are the step past chatbots. They take actions: researching, drafting, booking, qualifying, and closing loops on your behalf.

We design and ship production agents on OpenAI, Anthropic, and open-source models, grounded in your data via RAG and your systems via tool calling.

That includes real-time content personalization agents that choose the next message, content block, offer, or workflow path from live CRM, product, and website context instead of fixed rules.

Every agent we ship has evals, observability, guardrails, and a clear human-in-the-loop surface — because AI that's silently wrong is worse than no AI.

Related reading
Book a discovery callSee case studies

Sales & SDR Agents

Lead research, account personalization, sequencing, and meeting-booking agents plugged into HubSpot, Salesforce, and Outreach.

Real-Time Content Personalization Agents

Agents that select content, next-best actions, offers, and follow-up paths from live CRM, product, and website signals with approval gates where needed.

Support Agents

First-line support agents on Intercom, Zendesk, Front, and custom widgets — with retrieval from your help center and tickets.

Research & Analyst Agents

Internal research agents that synthesize customer calls, CRM data, and external sources into briefs and decisions.

Voice Agents

Inbound and outbound voice agents on Vapi, Retell, and Twilio for booking, qualification, and routing.

Retrieval & Memory

RAG with pgvector, Pinecone, or Turbopuffer, and long-term memory via hybrid retrieval and summarization.

Evals, Guardrails & Observability

Evals with Braintrust or Langfuse, safety layers, and full traceability so you know exactly what the agent did and why.

What you get

Deliverables

  • Agent design + architecture doc
  • Data + tool integrations
  • Real-time content personalization workflow
  • RAG / memory pipeline
  • Production deploy (Vercel, AWS, Cloudflare)
  • Evals + observability dashboard
  • Enablement + handoff
Fit check

Ideal for

  • Sales orgs buried in manual prospecting
  • Teams personalizing lifecycle, website, email, or product journeys in real time
  • Support teams with repetitive tier-1 volume
  • Ops teams drowning in unstructured data
Process

How we ship ai agents

01
Scope

Identify the workflow worth automating.

02
Design

Define tools, data, guardrails, and KPIs.

03
Build

Ship an eval-driven agent to staging.

04
Deploy

Production rollout with monitoring and HITL.

FAQ

Questions, answered

We're model-agnostic and usually run multi-model routing. GPT, Claude, Gemini, and open-source each have niches where they win on cost or quality.
Retrieval grounding, strict tool schemas, confidence thresholds, and evals on every release. For high-stakes flows, we add human-in-the-loop.
Yes. We build agents that choose content, next-best actions, offers, and follow-up paths from live CRM, product, and website signals with clear guardrails and approval logic where needed.
The agent reads consented live signals, retrieves relevant customer and content context, selects from approved experiences, and sends the decision to your website, CRM, product, or messaging tools. Each decision is logged so teams can evaluate quality, conversion lift, and policy compliance.
Start with the minimum useful data: page or product activity, acquisition source, content metadata, and selected CRM or lifecycle fields. We define consent, retention, eligibility, and fallback rules before connecting sensitive or personally identifiable data.
Typically Vercel, Cloudflare Workers, or AWS — whichever fits your stack. Data stays in your environment.
Related services

Explore the full stack

AI Automation

Replace manual workflows with LLM-driven pipelines on n8n, Zapier, or custom infra.

Learn more

AI Integration

Embed AI into your existing product — chat, search, classification, generation, RAG.

Learn more

SEO & Content

Topical authority, technical SEO, and content engines that compound traffic month over month.

Learn more

Let's build your ai agents engine

Book a 15-minute intro. If we're not a fit, we'll tell you in the call — and point you to someone who is.

Book a 15-min call