Your inbox is drowning. Your team is buried in repetitive work.

Most agencies sell you a chatbot. We build agents that integrate with your real systems: inbox, ticketing, CRM, CMS, database, queues. They don't just chat — they read, decide, write to your DB, fire webhooks, schedule follow-ups, and hand off to a human only when it matters. Everything runs on infrastructure you already own (or can own): Postgres with pgvector for retrieval, Redis + Laravel queues for orchestration, and Claude or OpenAI for the reasoning.

The problem: a flood of inbox emails — order status, refunds, account questions, technical issues — all going to one mailbox, all needing a human. What we build: • IMAP/Gmail/MS Graph ingest into a queue • Classifier agent that tags each email (order_status, refund, billing, tech_support, spam, urgent) • Retrieval over your knowledge base (docs, past tickets, product DB) via pgvector • Draft-reply agent that writes a context-aware response in your tone of voice (NL/EN) • Routing rules: auto-send for high-confidence simple cases, draft-in-Helpscout/Zendesk/Front for the rest • Hand-off triggers: angry tone, legal keywords, VIP customer → straight to a human Indicative pricing: from €4–8k for a focused inbox + 2 categories, up to €15–25k for full multi-mailbox triage with CRM writes, SLA tracking and a small admin UI.

The problem: you need consistent, on-brand, SEO-aware content across many sites or many product pages — and a content team alone can't keep up. What we build (this is the ContentBeast pattern): • Topic intake from sheets, briefs, or an idea agent that mines competitor pages • Research stage with web fetch + scraping + citation tracking • Drafting agent (Claude long-context) producing E-E-A-T compliant outlines and full articles • Quality gate: factuality, plagiarism, brand-voice and YMYL checks • Image generation + lifestyle stock matching • Auto-publish to WordPress, Shopify, Laravel CMS or Next.js MDX • Scheduling, internal linking, and sitemap pings We currently run this pipeline across 100+ sites in a single day on one agent stack. Indicative pricing: from €6–10k for a single-site automated blog, €20–40k for a multi-site content factory with custom CMS adapters and quality gates.

Reasoning: Claude (Sonnet/Opus) for long-context drafting and decision-making, OpenAI for embeddings and structured outputs. Memory & retrieval: Postgres + pgvector — one database for both your business data and your vectors. No separate vector DB to babysit. We use HNSW indexes, hybrid search (BM25 + cosine), and chunk-level metadata. Orchestration: LangGraph or hand-rolled state machines for multi-step agents; n8n for simple automations a non-engineer can edit; Laravel queues + Horizon for production-grade workers. Glue: Laravel/PHP for the business logic, agents, queues and admin (this is our home turf), Next.js for any UI, Redis for cache + queue, Cloudflare R2 / S3 for blob storage. We'll bring in a Python service only when a specific library genuinely demands it. Observability: OpenTelemetry + Langfuse for trace + cost per agent run, so you can see exactly what every email or article cost.

There's no fixed price tag because there's no fixed scope. A focused proof-of-concept that auto-replies to one inbox category on one mailbox can ship for around €4k. A full content factory or multi-team support automation lives in the €20–50k range. We always start with a paid discovery (€750–1.500) where we map your data, integrations and KPIs and come back with a fixed-price plan. Run-cost (LLM tokens + infra) is typically €100–800/month for support cases and €500–3.000/month for content pipelines, depending on volume.