Gunnar Eriksson

Years in this space

I've evaluated a lot of these over the years. What stands out here is editable AI-generated drafts — handled better than most — and aligns content with specific job descriptions. AI output still needs human review is my one real gripe. Worth the time if this is your use case.

Compared a few options

Evaluated this against two competitors. Where it wins: programmatic payment and settlement between agents and reduces manual integration between agent systems. Where it lags: limited utility outside agent-based architectures. On balance the feature set — especially agent listings and capability discovery — justifies the 4 stars for our use case.

Years in this space

I've evaluated a lot of these over the years. What stands out here is extended context window (up to 128k in Turbo) — handled better than most — and large context window for long documents. Worth the time if this is your use case.

Solid for our team

We rolled this out across the team last quarter and generates video and matching audio in one pass. Text-to-video and image-to-video modes fits neatly into how we already work, and support for stylized and realistic looks removed a step we used to do by hand. Usage may be gated or quota-restricted, which is the main caveat, but it has held up under daily use.

Use it every day

Honestly didn't expect to like it this much. Quality and style checks is exactly what I needed, and generates fixes for small bugs. I do wish limited value outside Jira/GitHub stacks, but I reach for it almost every day now and it just clicks.

Use it every day

Honestly didn't expect to like it this much. Personal memory stack trained on user content is exactly what I needed, and integrations with common productivity and messaging tools. but I reach for it almost every day now and it just clicks.