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Most AI-generated research disappears the moment you close the tab. You ask a good question, get a genuinely useful answer, and then, unless you manually copy it somewhere, it's gone, disconnected from everything else you've researched, with no way to build on it later without starting over. That's a strange amount of waste for work that often took real effort to produce.
- Relics are saved research outputs that persist as reusable units rather than disappearing when you close the tab.
- Landmarks enable deeper synthesis by combining up to three Relics or other Landmarks into a single output without re-running original work.
- Find News keeps Relics current by re-grounding saved research against new information and recent events.
- Beacons automate recurring research patterns by running scheduled reports on their own instead of requiring manual regeneration.
- Research accumulates over time through Relics, Landmarks, Beacons, and Find News working together as an integrated system.
Most AI-generated research disappears the moment you close the tab. You ask a good question, get a genuinely useful answer, and then, unless you manually copy it somewhere, it's gone, disconnected from everything else you've researched, with no way to build on it later without starting over. That's a strange amount of waste for work that often took real effort to produce.
Relics are IMBeacon.ai's answer to that problem: every research output you generate is saved as a persistent, reusable unit, not a disposable answer, but a building block for everything you research after it.
What a Relic Actually Is
A Relic is the saved result of a research prompt, a specific question or scope, answered, sourced, and stored. Think of it less like a chat log and more like a research note you can trust: it's traceable back to its sources, it doesn't degrade or get buried in scrollback, and it's structured so you can find it again when a related question comes up weeks or months later.
The idea behind the name is deliberate. A relic is something that retains its value over time rather than losing relevance the moment it's created, and that's the standard IMBeacon.ai research is built to meet. A report on a company's competitive position, a synthesis of recent clinical literature, a policy landscape summary. Each becomes a Relic the moment it's generated, ready to be revisited, shared, or built on rather than lost to a closed tab.
Why This Changes How Research Actually Compounds
Most research isn't a single question. It's a sequence of related questions that build on each other over weeks or months. Relics are what make that compounding possible instead of forcing you to re-derive context every time you come back to a topic.
They're persistent by default. No manual saving, no exporting to keep a research output from disappearing. Once generated, a Relic stays available.
They're the foundation for deeper synthesis. IMBeacon.ai's object model builds directly on top of Relics: a Landmark is a recursive synthesis of up to three Relics, or other Landmarks, letting you combine multiple pieces of prior research into a single, deeper output instead of manually stitching separate reports together yourself. Research that took three separate queries to produce can become one synthesized Landmark without re-running any of the original work.
They stay current. Research goes stale the moment new information emerges, a company reports earnings, a trial reports results, a regulation changes. Relics can be re-grounded against current events through Find News, updating a saved piece of research against what's happened since, rather than requiring you to start a fresh query from zero every time the world moves.
They can run on autopilot. For research you need on a recurring basis (a competitive tracker, a policy monitoring brief, a pipeline update) Beacons turn a research pattern into an automated, recurring report run, so the Relic you'd otherwise regenerate manually shows up on its own schedule instead.
Together, these four pieces (Relics, Landmarks, Beacons, and Find News) are what make IMBeacon.ai a research system you build a body of work in over time, rather than a tool you query once and walk away from.
What This Looks Like in Practice
An investor tracking a handful of companies doesn't need to re-research each one from scratch every quarter. Each company's baseline research becomes a Relic, updated through Find News as new filings and news emerge, with a Beacon set up to refresh the full set automatically ahead of earnings season.
A pharma analyst following a competitive pipeline can build individual Relics on each competitor's programs, then combine them into a Landmark that synthesizes the full competitive landscape in one view, without repeating the underlying research each time a new comparison is needed.
A researcher working across multiple related questions for a literature review can treat each individual synthesis as a Relic, then combine the most relevant ones into a Landmark that becomes the backbone of the review itself, cutting out the need to manually stitch separate outputs together.
In every case, the pattern is the same: research isn't thrown away after one use. It accumulates.
Getting Started
Every research output you generate on IMBeacon.ai, across Investment & Financials, Consumer & Brand Intelligence, Pharma & Healthcare, Public Sector, and Academia & Research. Becomes a Relic automatically. There's no separate step to "save" your research; the system is built around the assumption that good research is worth keeping.
From there, the next steps are yours: combine Relics into a Landmark when a question calls for synthesizing more than one piece of prior work, set up a Beacon when a research need is recurring rather than one-off, and use Find News to keep a Relic current as the underlying story develops.
Research shouldn't disappear the moment you stop looking at it. Relics are how IMBeacon.ai makes sure it doesn't.
Generate your first Relic on IMBeacon.ai
Do this automatically
If you run ten research queries a week and spend five minutes each time relocating a useful finding or reconstructing context you've already explored, you're investing roughly forty hours annually on retrieval and reconstruction alone. A system that captures and connects each result as it's generated eliminates that friction, letting the research itself compound instead of scattering. IMBeacon.ai runs this kind of analysis end to end and cites every figure back to its original source, across as many subjects as you need, with Mimir attaching a citation to every figure. It will not make the decision for you. It gathers and cites the evidence; the judgment stays yours, and deliberately so. Every plan includes it, including the free one.
Start your first report and run it on something you already know well.
