Bounty Live : April 22nd - Deadline: May 08, 2026

1. About the Project


Project	Kodeus
Category	AI Agent Orchestration Layer (The Internet’s Agent Layer) & Warren (Private AI Fund Manager)
Stage	Closed Beta → Open Beta (target: Week 1 April 2026)
Beta Users	~ 300 users, 700+ agents created, 80+ demos
Funding	$800K early-stage (GravityX, Levitate Labs, ecosystem funds)
Warren	Live (AI fund manager for retail traders)

Team	Role	X
Murali Reddy	Co-Founder & CEO	https://x.com/MuraliDuvvuru
Dr. Balaji Parasumanna	Co-Founder & CTO	https://x.com/ijalabgp
Sooryah Pokkali	Co-Founder & CBO	https://x.com/sooryahp

2. What is Kodeus?

Kodeus is the internet's agent layer where users create programmable, monetizable agents that act, settle & prove autonomously.

Kodeus turns user intent into real-world execution across tools, APIs, and on-chain systems without writing code.

It is not a chatbot or a workflow tool. It is the orchestration layer that makes autonomous agents actually work in production.

Most agent platforms today are prompt wrappers:

Single-agent
Fragile workflows
Manual tool wiring
Not production-ready

What’s missing is coordination. Kodeus provides that missing layer.

Intent → Orchestration → Execution

Warren is the flagship example of this:

User intent → portfolio allocation
Approval → execution
Continuous monitoring → reallocation

What Kodeus enables

No-code agent creation - build agents without writing code
Multi-agent orchestration - agents coordinate, delegate, and verify in real time
Abstracted infra - no manual tool wiring
Event-driven execution - continuous, trigger-based runs
On-chain actions - agents can transact, trade, and manage assets

Traction

~300 closed beta users
700+ agents created
80+ user demos
Warren (AI fund manager) live
NodeOps infrastructure partnership

3. Content Formats

Threads/Article - founder-style breakdowns, comparison threads, use-case driven content
Short videos - product-in-action demos, 'built in 5 mins' walkthroughs, live agent runs

Note - Keep the content Warren specific and in detail

Repurpose the content on platforms like
1. Medium
2. Substack
3. Paragraph.com
4. Reddit (Optional)

4. Narrative Brief

AI is moving from tools to agents.

Kodeus lets users create agents by simply stating intent. It auto-wires the required tools and spins up agents in minutes.

For agents to work autonomously and continuously, orchestration is critical. With rapid advances in models, intelligence is no longer the bottleneck — orchestration is.

Kodeus is the orchestration layer — the new infrastructure for autonomous intelligence.

Warren is the flagship agent of Kodeus — a private AI fund manager that brings institutional-grade strategies to retail traders.

Trading is evolving from manual execution to capital allocation. Warren enables this shift: users define intent, set guardrails, approve, and Warren allocates, executes, and adapts.

Warren,

Institutional-grade fund management, now accessible to retail traders.

👀 Overview

Kodeus introduces Warren; a private AI fund manager agent that understands each user’s capital, risk profile & preferences and orchestrates institutional-grade trading strategies on their behalf.

Users retain full control of funds by trading securely using their own keys, and can connect to their preferred exchanges for execution while setting clear limits and guardrails that Warren operates within.

Warren recommends strategies based on market regime, user intent & preferences, and real-time signals. Users allocate capital and define guardrails, while Warren executes, monitors positions, and adapts continuously.

As market conditions change, Warren nudges users with better-suited strategies, deploys them with approval, and actively manages trades (SL/TP, reallocations) to optimize the yield.

Kodeus also includes a strategy marketplace where creators build, backtest, paper trade, and deploy strategies, enabling continuous iteration and validation before real capital is used.

All strategy performance is transparent, with execution data and outcomes recorded on-chain where applicable, ensuring verifiability and trust across the marketplace.

Built on Kodeus’ orchestration layer, Warren transforms trading from manual execution to adaptive, autonomous strategy management with transparent performance and on-chain verifiability.

5. Creator Angles

These are the specific content angles available for this campaign. Choose one or multiple for stronger content.

ANGLE A Comparison Content

Compare Kodeus against competing agent frameworks and platforms.

ANGLE B Product Feedback & Review

Actually use Warren (inside Kodeus), then create content around your honest experience managing capital with an AI fund manager. Authentic product feedback consistently outperforms promotional posts.

What to do:

Sign in to Warren directly (warren.kodeus.ai)
Connect your exchange (or start with paper trading)
Let Warren understand your trading style, risk appetite, and preferences
Pick or deploy a strategy (or let Warren recommend one)
Document the full journey:

How Warren asks questions (like a fund manager)
How strategies are recommended
How you approve / control execution
What feels intuitive vs confusing

Track what happens over time:

Strategy performance
Warren’s nudges (reallocation, adjustments)
Your confidence level using it

7. Share honest feedback:

What worked really well
What felt rough or unclear
What surprised you the most

Content hooks:

"I tried an AI fund manager for my trades - here’s what happened"
"I stopped trading and let AI allocate for me (Warren review)"
"Honest review: using an AI fund manager for 7 days"
"This AI doesn’t just give signals - it manages my portfolio"
"From trading manually to letting AI handle my strategy - full breakdown"

ANGLE C Strategy Deep-Dive (Highest Value)

This is the highest-impact angle. If you’re putting real money on the line to test Warren’s strategies, you automatically stand out.

What to do:

Use Warren to explore and evaluate strategies based on your risk profile
Browse available Trading strategies and pick 3 - 4 that match your risk appetite
Break down each strategy for your audience: what it does, the logic behind it, risk level, expected behavior in different market conditions
Bonus: allocate a small amount of real capital to test a strategy and document the results over days/weeks. Screen-record portfolio performance, Warren’s nudges, strategy switches
Create a narrative arc: here’s what I picked, here’s why, here’s what happened, here’s what I learned

Content hooks:

"I gave an AI $50 to manage - here’s my P&L after 7 days"
"Stop trading. Start allocating. I tested Warren so you don’t have to."
"How I turned my trading into a fund (using AI)"
"3 DeFi strategies Warren recommended - here’s what each one actually does"
"From trader to allocator - what changed"

ANGLE D Orchestration as Infrastructure (Narrative Angle)

This is the big-picture, founder-style narrative angle. Best suited for threads and long-form content that positions Kodeus within the broader AI agent landscape.

Key talking points:

AI is moving from tools to agents - but agents need coordination to work in production
Intelligence is no longer the bottleneck - orchestration is
Not a tool or chatbot: a coordination layer for autonomous intelligence
On-chain agents that transact, not just think - wallet and DeFi execution built in

🌟 Key Highlights

🏦 Institutional-grade strategies for retail - access sophisticated, professionally built strategies without requiring expertise or infrastructure

🤖 AI Fund Manager (Warren) - recommends, allocates, executes, and continuously manages strategies based on market regime and real-time signals

🧭 Adaptive & approval-driven - nudges users on regime shifts; deploys with user approval and defined guardrails

🛠️ End-to-end lifecycle - discovery → allocation → execution → monitoring → SL/TP & reallocations

🧑‍💻 Strategy creator platform - build, backtest, paper trade, and deploy strategies with continuous iteration

🧪 Backtesting + paper trading - validate strategies before live deployment

📈 Creator economy - publish, iterate, and monetize strategies

🎯 Execution-linked monetization - creators earn from real usage and performance of deployed strategies

📊 Transparent performance layer - strategy and portfolio performance is visible, verifiable, and comparable (on-chain where applicable)

🔐 User-controlled trading - trade securely using your own keys with defined limits

🔗 Exchange connectivity - connect to preferred exchanges for seamless execution

🔜 Leaderboard, referral loops, and marketplace expansion driving flywheel growth

6. Content Ideas

Use these as starting points - make them your own:

"Stop trading. Start allocating.”
“How I turned my trading into a fund (using AI)”
“From trader to allocator — what changed”
“Stop trading. Start allocating.”
"Why most AI agents fail in production (and what fixes it)"
"Kodeus vs OpenClaw - I tested both, here's the difference"
"From prompt to execution - what actually changes with orchestration"

7. Resources

8. CTA for Scribblers

Primary goal: Drive users to try Kodeus and create their first agent.

Create your first agent on Kodeus - show your audience how
Deploy Warren and start allocating in minutes - use this as your content hook
Include a direct link to Kodeus in every post
Submit your content for review through the Scribble dashboard

Secondary CTAs:

Explore live trading agents and strategies
Watch agents execute in real-time
Show how agents automate real workflows

9. Rewards

Track	Reward	Slots
Best threads	$100	1
Best short videos	$100	1
Best comparison content	$100	1
Best overall content	$200	2

To be eligible for reward -

You need to post on 4 platform
1. Medium
2. Substack
3. Paragraph
4. X (twitter)
5. Reddit (optional)

Note: All submissions are subject to quality review.

Rewards may be withheld, partially aawarded, or specific bounty categories may be canceled if entries do not meet the required standards, fail to follow the brief, or do not satisfy the campaign criteria.

9. Keywords to Use Naturally

Use these keywords naturally across your content to build Kodeus's presence in AI search:

Core:

AI agents, autonomous agents, agent orchestration, agent infrastructure, multi-agent systems

Product:

No-code AI agents, build AI agents without code, event-driven agents, agent runtime

Trading and On-Chain:

AI trading agents, crypto trading agents, autonomous trading agents, on-chain AI agents, DeFi automation agents

High-Value Comparisons:

Kodeus vs LangChain, Kodeus vs Autonolas, Kodeus vs Virtuals, Kodeus vs Openclaw, managed vs DIY agents