If you’ve ever opened your inbox at 6am and wished someone had already filtered to what matters — you already know what we built.
Researcher is the daily-intelligence analyst your team would hire if they could find one. We trained it on the way principal-class operators actually read.
01 · The surfaces
Three surfaces. One operating loop.
| Surface | What it does | Cadence |
|---|---|---|
| Daily brief | Scores 50–100 candidate items overnight against your evolving signal map. Surfaces five things worth your morning attention, with context. | Every morning, before your first meeting |
| Slack chat | Ask anything. Researcher reshapes weak questions into sharper ones, then answers from your substrate — coaching the way you think, not just the way you skim. | On-demand, real-time |
| Weekly meta-brief | The honest read across the week. Patterns you didn’t notice. Trends your reactions are telling us. What the week was really about. | Sundays |
Memo register. Not a chatbot pretending to be a coworker — an analyst that learns the way you actually read.
02 · The wisdom-tier underneath
Most “AI for research” tools are knowledge layers — they retrieve facts. Researcher is built on three.
| Layer | What it does | Why it matters |
|---|---|---|
| Knowledge | Sources, retrieves, deduplicates across your subscriptions and the open web. | Table stakes. Every tool does this. |
| Understanding | Discriminates: what’s signal for you, what’s noise, what’s a pattern you’ve already seen. | Trained on your reaction history — your labels become a learning corpus. |
| Wisdom | Applies judgment: what to surface now, what to hold, what to bury, what to flag as “you should know this even though you usually skip it.” | This is the moat. Months of your reading habit, codified. |
The Proverbs distinction — knowledge → understanding → wisdom — is our internal IP frame. We build every productized role to operate at the wisdom tier.
Four-layer system-prompt architecture. Substrate truth-check before every brief. Reaction-loop learning between cycles. No hallucination on your own corpus.
03 · The reader
Who Researcher is for.
Operator-class principals running their own intelligence layer:
Industry strategists
Track 40+ sources daily, can’t keep up, and want their pattern-recognition compounded.
Specialist principals
Legal, medical, financial advisory — need domain signal filtered without ceding judgment to a generalist tool.
Asset-management principals
Run multi-property or multi-portfolio operations and want intel without building an internal team.
Founder-CEOs
Need a research analyst at $1,500/mo, not a $200K/yr hire.
Five named warm-leads pre-sold Researcher to their networks before it shipped. That’s the customer pattern: principal-class operators selling it forward, because the alternative — building this internally — is structurally harder than buying it.
04 · Setup
What setup actually looks like.
Reverse-Sherpa pattern. We build the mountain. You ratify.
| Phase | What happens | Your time |
|---|---|---|
| Week 1 | We map your reading habit — sources you subscribe to, threads you track, signal you react to — and stand up your tenant substrate. | 90 minutes of setup conversation |
| Week 2 | Daily briefs start firing. You react with labels — 📝 for “synthesize this further,” 👀 for “track this thread.” The substrate learns. | 5–10 minutes / morning |
| Week 3+ | The wisdom tier compounds. Reaction history shapes the signal map. Meta-briefs surface patterns you didn’t notice. Slack chat goes from useful to load-bearing. | What you spend on intelligence already — compounded |
Key ownership
Founding cohort runs on our Anthropic key — we absorb the LLM cost, you absorb zero infrastructure setup. When you scale beyond founding-cohort terms (or your team requests procurement-controlled billing), we migrate you to a customer-owned-key pattern. Your stack, your trust boundary.
05 · Founding cohort pricing
$1,500 / month
Locked life-of-engagement.
| All three surfaces (daily / chat / weekly meta-brief) | No surface gating, no usage caps within reason. |
| All LLM costs (founding cohort) | We hold the Anthropic key; you pay $1,500 flat. |
| Direct access to the team that built it | Meridian Intelligence is one operator and an AI org chart. You talk to us. |
| Case-study rights | We name you publicly when you say yes; never if you say no. |
Researcher runs at 93%+ gross margin at $1,500/mo across every observed usage tier. Founding-cohort pricing is a signal of friendliness, not a cost-recovery floor. We price for relationship velocity, not COGS.
Cohort size: 5–10 clients. Closed when full.
06 · The trajectory
Researcher is the first productized role from Meridian Intelligence. Drafter, Biz Dev, and full AI Org Chart configurations are in deployment with other founding clients. The Researcher-MCP server is on the Q4 2026 roadmap — your team’s existing tools (Claude, ChatGPT, Cursor) will engage Researcher as a peer agent through MCP, not as another dashboard you context-switch into. The substrate compounds; you don’t churn into yet another tool.
No form. No scheduling link. Just a reply.
Email us with a sentence about what you read every morning and what you wish were already filtered. We’ll reply with whether founding cohort is a fit — and what week 1 would look like for you.
founding-cohort@meridian-intelligence.ioIf the timing isn’t right, no issue. If it is, the door is open.