We integrate AI where it measurably earns its place: generating and filtering content, automating repetitive decisions, extracting structure from unstructured text. Our own product NetPostPanel is a complete AI content pipeline — we built its retrieval layer, provider orchestration and semantic filtering ourselves.
What we can build into your product
- Content generation and translation pipelines — draft, review, translate, publish, with human checkpoints where they matter. This site's CMS has exactly that built into its admin panel.
- RAG (retrieval-augmented generation) — embedding your documents into a vector index so the model answers from your data instead of guessing.
- Chatbots and assistants — API-driven, wired into your domain, with tool use and guardrails.
- Semantic filtering — triaging content, leads or tickets by meaning, not keywords; NetPostPanel filters scraped sources by relevance before generation.
- Data extraction — turning PDFs, emails and messy inputs into structured records.
How the pipeline works
$response = Http::timeout(30)
->retry(3, 250, throw: false)
->withToken($provider->key)
->post("{$provider->endpoint}/chat/completions", $payload);
if ($response->failed()) {
return $this->fallback->complete($payload);
}Provider calls get timeouts, bounded retries and a fallback provider — an LLM outage degrades the feature, it does not take the product down.
Every step is a discrete, testable unit orchestrated asynchronously with retries. If a provider times out, the job retries; if the filter rejects a draft, it regenerates. Nothing reaches a public page unchecked.
Pragmatic about providers — and about AI itself
OpenAI, Anthropic, Google, local models — we pick per task and budget, with fallbacks so an outage or price hike doesn't take your feature down. And just as important: we'll tell you when a rules engine or a plain script solves your problem cheaper than a model.