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Ich habe ein CRM, einen E-Mail-Agenten und eine LinkedIn-Erweiterung gebaut — und dann meine ganze Zeit damit verbracht, die Lücken zwischen ihnen zu managen. Was ich dagegen getan habe.

I built a CRM, an email agent, and a LinkedIn extension — then spent all my time managing the gaps between them. Here's what I did about it.

I hit my Claude Code credit limit mid-sprint and had three days to rethink everything. Here's what I actually changed.

Die meisten Unternehmen sitzen auf jahrzehntelang angesammelten, wertvollen Daten, die sie nicht nutzen können. Vor KI, vor Automatisierung — steht ein Audit. So sieht es aus, wenn man ihn endlich durchführt.

Most firms are sitting on decades of valuable data they can't use. Before AI, before automation — there's an audit. Here's what it looks like when you finally do it.

Schreiben und Coden folgen demselben tiefen Rhythmus: leeres Blatt, Widerstand, Iteration, Flow. Wer jemals etwas geschrieben hat, ist dem Softwarebauen näher, als er denkt.

Den Beitrag schreiben ist der einfache Teil. Ihn für fünf Plattformen umzuformatieren ist der Teil, in dem die Stunden verschwinden. Hier ist die genaue Aufschlüsselung — und ein besserer Weg.

Writing and coding share the same deep rhythm: blank page, resistance, iteration, flow. If you've ever written anything, you're closer to building software than you think.

Writing the post is the easy part. Reformatting it for five platforms is where the hours disappear. Here is the actual breakdown — and a better way to work.

KMU erzielen die größten KI-Renditen nicht durch Transformationsprojekte, sondern indem sie zuerst die repetitivste, zermürbendste Verwaltungsarbeit eliminieren. Lösen Sie die Frustration — dann skalieren Sie.

SMBs see the biggest AI returns not from transformation projects but from killing the most repetitive, soul-crushing admin work first. Fix the frustration, then scale.

Companies race to deploy AI agents on messy, fragmented data and wonder why outputs are wrong. The model is not the problem. The data underneath is.

Krümel, the smitten dessert romantic of The Ferrschling's Bakers Family, trades his flour-dusted marble counter for the bakery-lined streets of New York City — and falls in love all over again.

Krümel from The Ferrschling's Bakers Family lives in permanent dessert euphoria. We follow him through New York City's most sugary corners.

Heartly, The Hemmerich is a gelatinous little soul whose every emotion ripples visibly through her translucent belly — and she wouldn't have it any other way.

Heartly of The Hemmerichs is a gelatinous little soul who wears every emotion on the outside. Meet the fern-child who turned vulnerability into something quietly extraordinary.

Nicht das Schreiben kostet Zeit. Das Umschreiben für fünf Plattformen kostet Zeit. Amplicast löst genau dieses Problem.

Wando from The Feiner Family is the character who reaches you first, hand already open. A deep dive into who he is, where he lives, and why his purple tail never stops swinging.

Email drafting, meeting prep, and research summarisation are three workflows any busy professional can hand to AI this week — no technical setup required.

Die Amplicast Content Engine nimmt deinen Originalinhalt und verwandelt ihn in plattformgerechte Posts. Hier ist, was in jedem Schritt genau passiert.

Meet Wuschel and Fingling, two Fuchsarias whose bond is equal parts chaos and warmth. One talks too much, one remembers too well, and together they hold the whole valley together.

Amalie is TIRIDA's kitchen-workshop evangelist — a tall, restless 3D character who refuses to let anyone claim they're not creative. Meet her world.

Every post you create in Amplicast moves through a five-stage pipeline. Here is exactly what happens at each step.

Der Amplicast-Workflow führt dich von der Quelle bis zum veröffentlichten Post — ohne Copy-paste, ohne fünf separate Entwürfe. So funktioniert das System von Anfang bis Ende.

A plain-language walkthrough of how Amplicast moves a piece of content from source to published post — and what happens behind the scenes at each step.

AI models name two or three brands when buyers ask for recommendations. If yours isn't one of them, you're invisible at the moment of highest intent. Here's how to measure it.

I had a pile of rough pen-and-paper sketches and wanted to turn them into digital art — without AI doing its own thing instead of preserving mine. Five prompts in Gemini Flash 2.5 got me from raw scan to full 3D cartoon scene.

I attended a Cartoonist Workshop New York - we had to draw giraffes in 5min, 1.5min, 30sec, 5sec. Then I took my sketches to AI. My planned AI model failed, the second one worked wonders. And I turned them into ready-made images. What I learned and how you can create similar results, is what I share in this article.

GEO AI visibility determines whether AI models name your brand when buyers ask for recommendations. This piece shows you exactly what to measure and where to start.

Amplicast entstand aus einem konkreten Problem: zu viel Zeit für die Veröffentlichung, zu wenig Zeit für die Ideen selbst. Hier ist die ehrliche Geschichte dahinter.

Amplicast was built because publishing the same idea to five platforms was eating hours every week. Here is the story behind the tool.

Every platform wants a different format. Amplicast fixes the part no one talks about: the hour you spend reformatting after you finish writing.

Posting the same content to LinkedIn, Instagram, TikTok, and YouTube one by one is a time sink. Here is how Amplicast cuts that loop short.

Most teams already have an SEO motion. Here's exactly which parts carry over to AI search, which parts have to be rebuilt, and what to ship first.

Share of Voice was about media spend. Share of Model is about which brands AI considers obvious. Here's how to measure it without fooling yourself.

Du verbindest dein LinkedIn-Profil oder deine Company Page in wenigen Minuten mit Amplicast. Danach veröffentlichst du Texte, Bilder und Link-Shares, ohne LinkedIn auch nur zu öffnen.

Connect your LinkedIn profile or company page to Amplicast in minutes. Here's the exact setup and what to publish once you're live.

Most AI projects fail at adoption, not at build. Here's how to design workflows that teams actually embrace.

LinkedIn-Post schreiben, für Instagram kürzen, YouTube-Thumbnail erstellen, TikTok-Format anpassen. Es gibt einen besseren Weg.

A pattern emerges across DACH and US clients: German companies ask how AI can free up senior talent for relationship work, while US firms focus on automating 80% of tasks. One approach builds stronger organizations.

Die meisten KI-Agenturen verkaufen Ihnen eine von vier Phasen und nennen das ein Projekt. Wir fahren alle vier als durchgehendes Engagement — das ist, was bei etablierten Unternehmen funktioniert.

Wir nutzen Granola seit Wochen und es ist schnell zu einem unserer wichtigsten KI-Tools geworden. Ein einfaches Konzept: eigene Notizen plus Aufzeichnung ergeben eine perfekte Zusammenfassung.

Ein globales Marktforschungsinstitut verlor Senior-Zeit in manueller Dateneingabe. Nach der KI-Implementierung: 85% weniger Admin-Aufwand und 700 Millionen Dollar dormante Assets identifiziert.

We see this pattern across every industry we work in — market research, law, real estate, consulting. The build phase is complete. The system works. The handoff slides look good. Six months later, half the team has switched back to Excel.

Deutsche Unternehmen führen KI langsamer ein als US-Konkurrenten. Aber sie bauen von Anfang an compliance-ready und international skalierbare Lösungen.

Der ehemalige Telekom-CEO und heutige Airbus-Aufsichtsratschef zeigt im Industrie-Club Düsseldorf auf, wo Deutschlands echte KI-Chance liegt: nicht bei generischen Large Language Models, sondern bei hochspezialisierten Small Language Models.

Most AI agencies sell you one of these four stages and call it a project. We run them as one continuous engagement because that's what actually works for established firms.

A conversation with a retail team reinforced the real purpose of AI: cutting manual work to create more space for relationships. The teams winning with AI understand this fundamental principle.

We shipped nxtconnect.ai in German and refreshed the Amplicast Create flow. These aren't headline features, but they solve daily friction points for teams using our tools in production.

Granola combines your live notes with call recordings to produce one clean output. No bots joining calls. No sprawling feature sets. Just the bridge between human notes and AI transcription done right.