Introducing Saga, the Autonomous Research Agent that never clocks out

How much of your week do you spend describing your data, rather than interpreting it? For most insights, marketing and comms teams, the answer is "too much": the professionals whose job is to find story and meaning in the data spend most of their time reporting what it says.

Today we're introducing Saga: the first Autonomous Research Agent for Social and Media Intelligence. You brief it once, the way you'd brief a researcher, and it stays on the job — watching, comparing, escalating what matters. Saga delivers finished work on its own clock, so you and your team can focus on interpretation, decision-making and strategy. It never clocks out.

Saga is not an AI copilot. Every other vendor in social intelligence now ships one: a chat window on a dashboard that narrates what's on the screen, forgets when you close the tab, and produces nothing when no one is asking. Where an AI copilot has a chat window, Saga has a job.

Four things make Saga different

Not a faster way to ask questions. A way to stop asking.

01 — Brief-driven, not prompt-driven

Brief Saga once and it works on its own clock, indefinitely, pushing finished work to you before you think to ask. A copilot runs the other way: you open a window, ask, read, close the tab, and the context dies with the session. This is the shift from pull to push: Saga isn't a faster way to ask questions, it's a way to stop asking.

Prove it: brief Saga and a copilot the same way, then walk away for thirty days. Saga comes back with a stack of analyses tied to real movements in the data. A copilot will have nothing for you.

02 — On the data lake, not the dashboard

Saga analyzes the raw corpus directly. Not the dashboard. Every copilot in the category is a chat layer on pre-aggregated analytics, handing you what the reporting already exposes.

Saga runs novel clustering, custom embeddings, and the kind of multi-step statistical work no dashboard can pre-define. Fifteen years of permissioned, audience-grade data. The widest source set in the category. Novel methodology applied to all of it.

Prove it: ask Saga and a copilot the same audience clustering question. The copilot returns a summary of a chart someone already built. Saga surfaces a novel affinity group in your audience.

03 — Finished work, not summaries

A copilot narrates the dashboard it's handed. Saga produces the deliverable itself: the audience affinity report, the creator landscape map, the earned media report — across every market, on your team's methodology. Comparable by construction. No reconciliation.

Prove it: the Monday brief that lands before standup, carrying last week's signal, not last year's taxonomy. One prompt, four markets.

04 — Methodology that compounds

Saga captures your team's methodology as prompt libraries: named, versioned, owned by the people who built them. They survive attrition and scale across every hire. A copilot, on the other hand, is stateless: every session starts from zero, and your team's method lives in one senior analyst's head until they move on to their next job.

Prove it: hand a new joiner the captured house method and watch them produce senior-grade work in week one.

So what can Saga be used for?

Saga is responsive to your brief — any task you'd carry out on your social intelligence tool. Some examples:

• Weekly briefing. Brief Saga once early on a Monday. Every Monday after that, the brief lands in your inbox, before standup.
• Pitch audit. Three categories, four markets, one weekend. Saga audits the audience and the conversation while you write the deck.
• Early warning scan. Saga doesn't surface everything. It escalates what crosses your threshold: an emerging cluster, a tone shift, an affinity group that isn't in any pre-built taxonomy. It catches the cluster at 200 mentions, not 20,000.
• Cultural deep dive. "What's shifting in dad culture on TikTok this quarter?" — get the tensions, top communities and real audience quotes back.
• Competitive scan. Saga surfaces what rivals are doing that's actually working, tracked as it happens. You see the move while it's still a move, not in the quarter-end deck.
• Multi-market analysis. One brief, four markets, one methodology. Not four separate outputs assembled by hand. Comparable because Saga runs them the same way.
• Reputation pulse. The narrative watched 24/7 across stakeholders and markets, on one methodology, so cross-market comparison holds up.
• Creator check. Vet a creator before you sign — controversy history, audience authenticity, brand-safety flags — then keep watching. If a signed one drifts into trouble, you know inside the hour, not after the screenshot is already circulating.
• Earned-media valuation. One EMV methodology, run the same way across every market, auditable by finance. No more reconciling three agencies' three different numbers.

That's just a few ideas — Saga will adapt to your team's needs.

Give Saga a job. Walk away.

We're currently running a private beta with a few Pulsar users. If you'd like to try it out, fill out the form below.