Industry news reframed as content angles.
News pulls a fresh daily feed across 15 industries, in English and French, and reframes each story as an angle you can write from. Every article keeps its source, date and summary, so you start from a story your audience read this morning rather than one you half-remember.
The beginner's blueprint for building AI agents that handle your toughest business tasks
This practical guide explains how to design agentic workflows using a simple inputs, tasks and outputs framework, so any business leader can move from idea to automation.
Batch-generate original post ideas tailored to you.
The Ideas generator produces a batch of post concepts in seconds, each one researched against the live web so the angle rests on something real instead of a plausible-sounding guess. Instead of "5 tips for productivity", you get angles that take a position in a debate your industry is actually having, and no two ideas in a batch land on the same point.
Sports
Olympic sports
Tension
The Olympics creates a visibility spike, but most organizations optimize for a two-week PR moment instead of building a monetizable audience and partner inventory that survives the cycle.
Strategic
Executive perspective
Surface contrarian angles nobody else sees.
Sharp takes reads any article or statement, names the take everyone else is about to publish, then gives you the contrarian angles sitting underneath it. Each one arrives with the questions nobody asked, the objections you should expect, and a rating for how it tends to perform on LinkedIn. You see the opposing case before you commit to a position.
Unasked questions
- If DoD can label a vendor a "supply chain risk" over policy disagreements, what stops the same playbook being used in finance, healthcare, or elections tech?
- What is the appeals process when "lawful purpose" is defined by the customer—and the customer is also the most powerful buyer on earth?
Anthropic isn't "standing up to the Pentagon"—it's auditioning to be the global safety standard setter.
Rationale
It reframes the story from ethics theater to power, standards, and who governs AI in practice, which reliably drives high-signal debate.
Description
The real fight isn't one contract. It's who gets to define "lawful purpose" and bake that definition into the default LLM policies every enterprise inherits. If Anthropic wins, "company-written constraints" become the de facto international AI constitution—without votes, courts, or public process.
Dominant angle
Most LinkedIn takes will frame this as a neat triad: defense wants capability, AI labs must be ethical, and consumers will benefit from agentic assistants + XR funding. It'll land on vague calls for "balance," "responsible innovation," and "governance."
Connect insights across industries.
Cross-industry bridges takes a concept that already works somewhere else (pricing psychology from retail, risk management from aviation) and shows you how it maps onto your field. Your audience recognises the problem and has never seen it framed that way, because they don't read the industry you borrowed it from.
Angle
Most marketing attribution is polluted at the moment of data entry: we ask prospects (or internal teams) to self-select "how they heard about us" or manually tag campaigns, then we treat that as truth. Garmin's gear-tracking shows the better model: infer the right "gear/source" from context and make the correct choice the default.
Garmin's new gear-tracking (defaulting trail runs to trail shoes) is a blueprint for fixing marketing attribution—stop letting people "choose" source/intent and start inferring context automatically.
Why it works
Both systems break when users must self-tag correctly; defaulting based on context reduces misclassification and makes downstream analysis trustworthy.
Tension
More tracking automation can improve accuracy, but it also reduces user control and forces marketing ops to own the rules (and the inevitable edge cases).