Watches the feed
Surfaces the conversations, trends, and openings worth jumping into — so you show up in the moment a real buyer is paying attention, not a day late.
Iris Intel · Market intelligence, deployed
It reads your market, then tells your content what to be.
Ninety-ten, every month.
Iris Intel is deployed on your niche and your keywords. Every month it isolates the top 10% of performing content in your market, works out what those winners have in common, and turns it into what your next batch has to contain. Then it scores what you posted the same way — and the gap between the two sets next month's direction.
Bring the question your numbers can't answer.
Iris Intel · running on Sacred's own accounts since the day we built it
The engine
Ninety-ten, run on both sides of the fence.
A scheduler only ever sees your account. A research tool only ever sees the market. Iris runs the same split on both, every month, and the direction comes out of the gap between them — not out of anybody's opinion about what should work.
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Outside · before the batch
"These are the ten percent your market rewarded, and here is what they have in common."
Scout crawls your niche and your keywords for the month and ranks what actually performed — interactions, saves, watch-through, not vanity reach. It takes the top 10%, strips out what those winners share — hook, format, length, angle, the words that keep recurring — and writes that up as what your next batch needs to contain.
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Inside · after the batch
"These are the ten percent you were rewarded for, and these ninety didn't land."
Your content ships and the numbers come back. Iris runs the identical split on your own account — which 10% performed, which 90% didn't, and what separates them. Same method, your data.
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The net between them
"Here is where your audience and your market agree — and here is where they don't."
What the market rewarded, laid against what your audience rewarded. Where the two agree is next month's direction. Where they disagree is usually the more useful finding, because that is where your audience is not the market's audience.
Then the month turns over and it runs again — against a market that has moved and an account that has learned. That is the difference between a tool that does the same thing in month six as it did in month one, and one that shouldn't.
What falls under the eye
It watches four feeds at once.
The monthly split is the brain; these are the eyes that feed it. Most tools schedule and stop — Iris runs the whole loop across four feeds, so you show up while the buyer is still paying attention instead of a day after.
Watches the inbox
Reads DMs, comments and mentions, and flags the handful that look like actual buyers instead of noise.
Watches the conversation
Replies, quote-posts, and reposts in-voice when a quality filter passes. High-stakes DMs are drafted for a human — never auto-blasted.
Watches the scoreboard
Reads what actually performed each week and feeds the lesson into next month's plan.
Iris is the one place all four meet
- AI-native generation
- A real brand voice
- A built-in engagement loop
- Memory that compounds
Schedulers · Generators
- Schedulers are pipesThey post what you hand them.
- Generators spit out slopWith no voice and no memory.
Tools make you faster at posting. This makes you right more often.
The month is the cycle · the day is the texture
What a single day looks like.
The ninety-ten analysis lands monthly, with your batch. Underneath it, the watching never stops. This is a sample Tuesday from our own account — patterns spotted, lessons logged, and a one-line instruction sent to whichever agent can act on it.
[08:02] scout > trend rising in the feed — owners asking about AI receptionists. opening flagged.
[08:14] generator > drafted posts from a new build screenshot. queued. brand-voice check passed.
[09:37] capture > 3 new comments, 1 DM — 1 looks like a real buyer. routed to human, draft attached.
[10:05] engager > quote-post auto-sent (quality filter 0.91). high-stakes DM held for approval.
[11:48] iris > tells outbound: reply rate up since the script change — keep it.
[13:20] iris > tells generator: before/after format performed best again. recycle it, cut the talking-head clips.
[14:11] forensics > competitor went quiet 9 days. share-of-voice window open — recommend +2 posts.
[16:54] iris > tells follow-up: prospects keep asking what happens after the blueprint — answer it in the first message.
[17:30] memory > week logged. lessons filed for next month's plan. saved.
[17:31] watching
Sample day. Iris is built to read the outbound engine, the content generator and the follow-up agent, and route the next move.
Where the watching turns into work
What it tells the other agents.
Insight nobody reads is just a report. Iris doesn't write reports — it writes instructions. Every pattern it spots becomes a one-line move for the agent who can act on it. Most of them never need to reach your desk. The ones that do arrive with the evidence already attached.
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To the content generator
"Before/after is what performed this month. Recycle it, drop the talking-head clips."
Pointed at what's already working.
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To the outbound engine
"Reply rate is up since the script change. Keep it, scale the send."
The winning message gets more volume; the loser gets cut.
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To the follow-up agent
"Prospects keep asking what happens after the blueprint. Answer it in the first follow-up."
Context from the market, in the next message.
Sample instructions · One brain, every channel. The whole stack moves on what the eye sees.
Then it watches what those moves did
A scheduler stays flat. Iris compounds.
Sending the instruction is half of it. The eye stays open to see what the move actually did, and every month's split is trained on the one before it. We ran it on our own accounts first, unattended, before we would point it at anyone else's.
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Listen
Read the market
Feed, inbox, conversation, scoreboard — four signals in.
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Act
Post & engage
Posts get drafted from what's working. Replies and reposts go out in-voice; sensitive DMs route to a human.
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Score
Keep what worked
Each week, what performed gets recycled; what didn't gets cut. No favorites.
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Remember
Compound it
The lesson lands in next month's plan and in the instructions to every other agent.
Then the loop runs again
We built Iris to watch our own accounts first — unattended, for months, before we would deploy it on anyone else's.
The systems we buildThe Sacred Stack → Seven systems
What it crawls, by market
Your niche, your keywords, your numbers.
The method is identical everywhere; what changes is what gets crawled. The niche, the keywords and the competitor set are named on the discovery call, because you already know where your market is loud. From there the monthly split does the rest.
If you pour concrete
The weather that fills a phone two days later. The three names bidding the same street. The search terms that spike after a freeze. The review that mentions a crew by name.
If you run a clinic
The question patients keep asking before they book. The recall window nobody is working. The reviews that are really about wait times, not care.
If you sell trades
The competitor who just changed their offer. The post format that actually brings people in. The quote requests that stall at the same step every month.
Whatever you do
The feeds get named on the discovery call, because you already know where your market talks. Iris is the part that keeps watching it after the call is over.
Where it lands in the build
Iris is why month four beats month one.
The first system gets built off what you told us on a thirty-minute call — which is the best information anyone has on day one, and the worst information anyone will have by month three. Iris is what replaces it. By the time the quarterly review comes around, the question "which system goes next" has an answer with evidence attached instead of an opinion.
Before you book the call
Iris finds the pattern. See what acts on it.
Spotting the leak is the first half of the job. The builder sketches the system that closes it — name the bottleneck, forge the stack, watch it assemble. Ten minutes, no sales call — the costed build arrives by email.
Bring the question
Stop posting and praying. Run a system.
Iris reads your market every month and tells your next batch what to be. Bring the question your numbers can't answer, and we'll tell you straight what it would take to answer it, and whether it's worth building.
or leave your details
Got it. You'll hear from a person today — not a bot, and not next week. If you'd rather just pick a time, the calendar above is open.
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