Lunar AI Lab × PredictLab - Agent Blueprint

WHO WE ARE

7 years in crypto.
300+ projects. Now building AI.

Lunar AI Lab is the build team inside Lunar Strategy, a European growth marketing agency with 7+ years in tech and crypto. 300+ projects delivered. $60M+ in managed marketing budgets.

We build custom AI agent systems for marketing and revenue teams. We also bring the marketing brain that makes agent outputs perform when they hit real users.

Years in crypto & Web3

Projects delivered

Managed budgets

Trusted by: Polkadot · OKX · Polygon · Cardano · DFINITY · BitMEX · Neo

WHERE YOU ARE TODAY

Your agents work.
They need calibration to reach full output.

Current State

Governor rejects too many market ideas. The pipeline produces less than it should.
Google News is the only data source. No real-time signals from X or Twitter.
No handling for void markets, disputed outcomes, or early settlement
Nothing guides which markets are worth creating. The system has no "taste."
No human review step. The agents run on their own but nobody checks the output.
Creative and Publisher agents work fine, but they get weak input from upstream

What Changes

The architecture redesigns the Sentinel → Architect → Governor prompt chain with better filtering criteria
The blueprint covers X API as a second data source for real-time trends alongside Google News
Edge case rules defined: void markets, disputed outcomes, early settlement, volatility flags
Marketing intelligence built in: niche market templates shaped by 7+ years of crypto marketing
The architecture includes a human review step for calibration, then autonomous transition with monitoring
Better input upstream means Creative and Publisher agents produce better output with zero changes to their code

THE SOLUTION

We design it. You build it.

Workshop

Alignment session with Ink + Khish
Agree on market categories and filtering criteria
Define edge case rules and data sources

Architecture Document

Full agent architecture: prompt chains, Governor logic, workflows
Edge case handling rules
X API integration spec

Presentation & Feedback

Walk through architecture with PredictLab team
Incorporate feedback
Finalize deliverable

Your Team Builds

Ink and team implement from the blueprint
Optional advisory available as needed
On-demand support during build

DELIVERY ROADMAP

From workshop to final deliverable
in ~2 weeks.

Week 0

Week 1

Week 2

Kick-Off Workshop (90 min)

Architecture Development

Architecture Presentation

Feedback & Final Delivery

Meetings

Deliverables

Architecture Work

Week 0

Kick-Off Workshop

90-minute alignment session with Ink and Khish
Map current agent pipeline and identify gaps
Agree on market categories, filtering criteria, data sources
Define edge case rules and resolution logic

Week 1

Architecture Delivery

Full architecture document: prompt chains, Governor logic, workflow diagrams
X API integration specification
Edge case handling rules and market templates
Niche market category definitions informed by marketing experience

Week 2

Review & Finalize

Present architecture to PredictLab team
Incorporate feedback and adjustments
Deliver final document for Ink to build from
Handoff + walkthrough of all components

SCOPE OF WORK

What we deliver.
What's not included.

What We Deliver

90-minute kick-off workshop with your technical and BD team
Full agent architecture document (Sentinel → Architect → Governor prompt chains, logic, and workflows)
Governor filtering criteria and quality scoring rubric
X API integration specification and data flow design
Edge case handling rules (void markets, disputes, early settlement, volatility)
Niche market templates and category-specific rules
Market selection strategy informed by 7+ years of crypto marketing
Architecture presentation + feedback session
Final revised document ready for your team to build from

Out of Scope

Infrastructure development, deployment, or DevOps (your team handles all building)
Platform security audits or penetration testing
Rebuilding Creative or Publisher agents
Platform UX/UI changes
Community building, marketing, ambassador programs (Adam's advisory scope)
Any additions scoped and quoted separately

Note: This engagement delivers architecture and strategic guidance. All infrastructure development, deployment, and ongoing maintenance are handled by your engineering team.

INVESTMENT

Strategic investment. Clear deliverables.

Architecture and strategic guidance. Your team handles the build.

$2,000

Agent Architecture & Workshop

Fixed price. Payable upfront before workshop.

90-minute workshop, full architecture document (prompts, logic, workflows, edge cases, market templates), presentation and feedback session, final deliverable for your team to build from.

$150/hr

On-Demand Advisory

Optional. Triggered by you when needed. No fixed commitment.

Strategic advisory on prompt tuning, Governor calibration, market selection, and agent performance optimization. Schedule sessions as needed. No monthly minimum, no lock-in.

Advisory Sessions Can Cover

Prompt tuning and optimization, Governor filtering adjustments, new market category strategy, edge case rule updates, agent performance review, or any other strategic guidance your team needs as they build and iterate.

Payment Structure

$2,000 · Architecture & Workshop Invoiced upfront before kick-off workshop

$150/hr · Advisory Sessions Invoiced per session as used

PROOF OF WORK

What we've built. What it did.

ContentOS · AI Content Engine

3-agent pipeline (Researcher → Idea Maker → Writer) built for a crypto marketing team. Trained on existing brand content and voice guidelines. Pulls from X, Google News, and industry sources. Generates platform-ready posts with hooks and formatting.

Brand voice training on existing writing style, tone, and formatting
Multi-source research from X, Google News, Reddit, and niche industry feeds
Content hook generation matched against brand content pillars
Platform-specific formatting for X, LinkedIn, and blog
Engagement optimization based on post-performance feedback loops

400K+

impressions in 14 days

6.5%

engagement rate

autonomous agents

Multi-Agent Pipeline

RevenueOS · BD Meeting Intelligence

Full pipeline from calendar booking to same-day proposal. Pre-call research briefs delivered via Slack, automatic Fireflies transcript retrieval, post-call analysis, and proposal generation. Built for a BD team running 15+ calls per week.

Auto-triggered on calendar booking. No manual input needed.
Company intel, competitor research, funding data, and key people pulled automatically
Structured brief delivered to rep's Slack DM before the call
Fireflies transcript retrieval and post-call analysis with action items
Same-day proposal drafting from meeting context and research data

20%

reduction in BD admin

5 min

pre-call brief delivery

Same-Day

proposal turnaround

Workflow Automation

SignalOS · Competitive Intelligence

Automated competitor monitoring across web, Reddit, and Hacker News. Multi-layer signal pipeline: collection → filtering → classification → Slack delivery. Replaces two hours of manual feed scanning every morning.

Multi-source monitoring across 40+ configured feeds, updated every 30 minutes
Signal relevance scoring by type: launches, pricing changes, partnerships, hiring
Automated classification drops irrelevant noise before it reaches anyone
Morning Slack digest at 8:30 AM with top signals ranked by relevance
Trend detection and weekly competitor activity summaries for leadership

12+ hrs

saved per week

50+

signals captured weekly

3 min

morning digest delivery

Live & Running

NEXT STEPS

How to get started.

Review this proposal internally

Share with your team and Ink. We're available for questions via the group chat.

Confirm and schedule workshop

Once aligned, we lock in the workshop date this week.

Workshop + architecture delivery

90-minute session, then we deliver the full architecture document within one week.

Your team builds

Ink implements from the blueprint. We're available for on-demand advisory as you build and iterate.

Your Agent Blueprint, Built to Perform

7 years in crypto.300+ projects. Now building AI.

Your agents work.They need calibration to reach full output.