Live online workshop
October 7–8, 20267 PM Eastern · Two evenings

Imagine having an LP analyst on call...

Tyler Bond, workshop instructor

Spend two live evenings with me. You leave with a working AI research assistant and the 13 other tools I use.

October 7–8 · 7:00–8:15 PM Eastern

Reserve My Seat →
LP AI AssistantExample

Illustrative example

Illustrative examples.

Find pools

Example search scope: Ethereum, Base, Arbitrum, Optimism and Polygon.

  1. You

    I have USDC I’d like to earn yield on. Find some pools across these five networks.

  2. AI

    I’ll compare pools containing USDC by recent fee activity, trading volume, and liquidity. Should I include pairs with other stablecoins only?

  3. You

    Yes. Show me three candidates.

  4. AI

    Here’s a shortlist, with each pool’s network, paired token, recent fees, and available liquidity. Which would you like to investigate?

Sample shortlist, using fictional 7-day activity:

Pool A · Base · USDC/USDT: $2,400 in pool fees, $8M in volume and $3.2M in liquidity.

Pool B · Arbitrum · USDC/DAI: $1,800 in pool fees, $6M in volume and $2.8M in liquidity.

Pool C · Polygon · USDC/USDT: $1,200 in pool fees, $4M in volume and $1.9M in liquidity.

These pools and figures are fictional. Pool fees are not position profit.

Research a pool

Sample pools A–C · Questions, evidence and missing information.

  1. You

    Run the Go/ No-Go framework against these pools.

  2. AI

    I’ll gather the information behind the framework: what drives the yield, token risks, liquidity, fee consistency, range choices, and management requirements.

  3. You

    Show me what we know—and what we still need to find out.

  4. AI

    Here’s the research organized by question. I’ve highlighted missing information and areas that deserve a closer look.

What drives the yield? Sample finding: trading fees plus token incentives.

What are the token risks? Needs research: issuer, backing and bridge exposure.

How much liquidity is available? Sample finding: $1.9M–$3.2M across the three pools.

Are fees consistent? Needs research: the 30-day trend and unusual activity.

Which range choices fit the evidence? Needs research: compare ranges against price history.

What management would this require? Needs research: review frequency and adjustment costs.

This framework gathers information. It does not assign a score or investment verdict.

Compare ranges

Sample ETH/USDC pool · Fictional 30-day price history.

  1. You

    Help me design a range for this ETH/USDC pool.

  2. AI

    In this illustrative 30-day history, price moves between $1,800 and $2,200. Would you like to compare narrow, medium, and wide ranges against that history?

  3. You

    Yes. Compare estimated fees and time in range.

  4. AI

    Here’s the sample comparison, including when price moves outside each range. Which tradeoff would you like to explore?

For a fictional $1,000 position over 30 days:

Narrow range ($1,850–$2,150): $120 in estimated fees, with price inside the range 70% of the time.

Medium range ($1,700–$2,300): $80 in estimated fees, with price inside the range 100% of the time.

Wide range ($1,500–$2,500): $45 in estimated fees, with price inside the range 100% of the time.

These figures are invented, not a measured backtest. Fees exclude costs and changes in asset value; they are not total profit.

Investigate yield

Sample pool · Fictional annualized rates and activity.

  1. You

    This pool shows a really high yield. What’s driving it?

  2. AI

    I’ll examine how much comes from trading fees, how much comes from incentives, and whether recent activity is unusual.

  3. You

    Compare the last seven days with the previous month.

  4. AI

    Here’s the sample comparison. I’ve highlighted changes in volume, liquidity, and fee activity so you can see what’s behind the headline number.

The fictional headline rate is 28% annualized: 8 percentage points from fees and 20 from incentives.

Sample daily volume: $2.2M over the last 7 days, compared with $1.23M over the prior 30 days.

Sample liquidity: $3M over the last 7 days, compared with $4.5M over the prior 30 days.

Sample daily pool fees: $660 over the last 7 days, compared with $370 over the prior 30 days.

These are fictional annualized estimates, not profit. Incentives may expire, and recent activity may not persist.

Explore scenarios

Sample ETH/USDC position · USDC per ETH · Range $1,850–$2,150.

  1. You

    What happens if price moves outside this range?

  2. AI

    Let’s examine both directions: which token the position would hold, when trading fees would stop, and what choices you’d have afterward.

  3. You

    Show me what I should consider before adjusting it.

  4. AI

    We’ll look at your current holdings, adjustment costs, recent price behavior, and whether the original reason for choosing the range still holds.

Below the range: the position principal would be ETH, with no new trading fees.

Inside the range: the position would hold both tokens, earning trading fees as swaps occur.

Above the range: the position principal would be USDC, with no new trading fees.

Before adjusting, consider your holdings, transaction costs, recent price behavior and original reason for choosing the range. Previously earned fees remain separate.

Every gold nugget...

4 years of full time liquidity providing, packed into the tools I wish I’d had on day one.

Yours to keep forever.

14tools and walkthroughs.

Start here: your own AI research assistant.

1

AI + LP data setup (using free tools).

We build it together, live, using free tools. You leave with it working.

Built with you liveUses free tools
2

LP skill file

The instructions that turn a general AI into one that understands liquidity pools.

3

Prompt library

The exact prompts I use to find, research and compare pools.

Then, a way to decide what to do with what it finds.

  • 4

    Go / No-Go framework

    Work through the tradeoffs before you enter—or pass.

    Toolkit
  • 5

    Range testing walkthrough

    See how range ideas hold up against historical price behavior.

    Live
  • 6

    LP vs. holding performance tool

    Compare a position with simply keeping the same tokens, including fees and costs.

    Toolkit

Then watch me do it for real.

  • 7

    End-to-end walkthrough

    Follow a liquidity position being set up, step by step.

    Live
  • 8

    BONUS: Real-world asset + LP

    Where and how to buy tokenized assets, including tokenized stocks— and how you can hold bluechip stock and earn 10x the dividends

    Live

Plus the foundations, so none of it is a black box.

  • 9

    Interactive LP simulator

    For my visual people. Move the different levers and actually see what happens inside a position.

    Toolkit
  • 10

    LP Layer by Layer course deck

    The need-to-know fundamentals of what a liquidity pool is and why they exist

    Toolkit
  • 11

    Top mistakes & misconceptions guide

    The traps I’ve watched people fall into, from real coaching calls.

    Toolkit

And you keep all of it.

  • 12

    Step-by-step wallet setup guide

    Arrives before training. A funded wallet is optional.

    Before training
  • 13

    Both session recordings

    Pause it, replay it, try it again. Each is available by the end of that session.

    Recording
  • 14

    Optional Thursday Q&A

    Stay and work through what still needs to click.

    Live

All 14. Two live evenings.

$197

Reserve My Seat →

Toolkit provided during training. Wallet guide before training. Each recording available by the end of its session.

But what if... [insert fear here]

100%Risk-free guaranteeValid through October 9, 2026

Come to the training.
Decide afterward.

Attend both live sessions. If the training isn’t worth $197 to you, request a full refund.

Email [email protected] from your purchase email by October 9, 2026 at 11:59 PM Eastern to request your refund.

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Questions people ask

What is a liquidity pool?

A liquidity pool is a shared pot of two tokens that traders swap against on a decentralized exchange. The people who deposit the tokens are called liquidity providers, and they earn a share of the trading fees every time someone swaps. On many exchanges you also choose a price range for your deposit, and you only earn fees while the price stays inside it. Which pool, and which range, is the decision this workshop is built around.

Who is this for?

Liquidity providers who want a better way to choose pools and ranges, and newer people who want to start with a process instead of guesswork. This isn’t a beginner course: we quickly refresh the mechanics that affect your decisions, then spend the time setting up your LP analyst and putting it to work. You can attend without ever having opened a liquidity position.

Which AI do we use, and do I need to be technical?

We recommend either Claude or ChatGPT, but other models like Gemini, Grok, etc. can be used as well. As for technical: I’ve coached people who are in their 70s and 80s. You can do this! The AI setup is built with you, live, click by click, using free tools. Once it’s set up, using it is as easy as typing a question into Google. Both sessions are recorded, so you can pause and go back over any step.

Do I need to fund a wallet?

No. You can watch every live walkthrough without putting any money into a position. That’s one reason you get the recordings: to reference them later. Following along with your own funded wallet is optional, and the wallet guide you get before the training shows you how to set one up if you want to.

Does the AI tell me what to buy?

No. The AI does the digging: it pulls the data, compares liquidity pools, organizes what it finds, and pressure-tests your questions. The decision stays with you. The whole workshop is built around making a call you can explain, not following an AI output blindly.

Is there a sales pitch at the end?

There’s no hard close or “you need to buy this next” pitch.

This is a standalone workshop. My goal is for you to leave with the knowledge, tools, and framework to keep moving forward on your own without needing to buy anything else from me. This workshop gives you more than I ever had.

That said, I do offer ways to continue working together for people who want more support. That includes private one-on-one consulting and a month-to-month crypto community where we stay plugged into what’s changing across the market, emerging opportunities, new tools and how to navigate them, blockchains, and the growing real-world asset ecosystem.

I share a lot publicly and for free. The community is where I get to go deeper on the more current, fast-moving stuff—the things I am actively researching, testing, and paying attention to as the market develops.

But none of that is required to get value from this workshop and to become a very skilled liquidity provider. The workshop is meant to stand on its own.

Is liquidity providing risky?

Yes. Like any investment, liquidity providing carries risk. That includes market risk, token risk, smart-contract risk, ending up with less than if you had simply held the tokens, range-related tradeoffs, and other risks. This training is educational. It does not guarantee profits or remove investment risk.

So yeah.

Imagine having an LP analyst on call...

$197

Two live evenings. Your own AI Analyst. 14 tools and walkthroughs.

  • October 7–8 · 7:00–8:15 PM Eastern
  • Optional Thursday Q&A from 8:15–9:15 PM
  • Lifetime recordings
  • Full refund if it isn’t worth it to you
Reserve My Seat →

Registration closes October 7 at 6:45 PM Eastern.

October 7–8 · $197Live LP + AI workshop
Reserve My Seat