7 Prompt Chains for Decision Making, Self Correcting, Reliable AI Agents

Ғылым және технология

AI Agents are the NAME of the SOFTWARE GAME. Knowing how to build POWERFUL AI Agents is everything in the AGE of AI.
Use these 7 Prompt Chains to build POWERFUL AI AGENTS with the help of Claude, Opus, Haiku or your favorite LLM.
The name of the game in software engineering is: How can I build agentic software where my AI Agents can do the heavy lifting for me? There are levels to this. You start with a single prompt, then you can chain prompts and code together to create powerful AI Agents that can do the heavy lifting for you. There are so many applications for this, from content creation to research to coding. Every single prompt chain is a potential 5,6,7 figure product. We're only scratching the surface with UIs like ChatGPT, Anthropic, Gemini and other Chat Based UIs. The future is bright for AI Agents and Agentic Applications.
Let's unlock the Prompt Chains that can enhance your prompt engineering abilities to elevate your software's capabilities. We're breaking down seven powerful prompt chains, complete with real-world examples, to show you exactly how to harness LLMs like Claude-3's Opus, Haiku, Sonnet, and whatever your favorite favorite LLM provider is. Discover how u create Agentic software that works tirelessly for you and your users, adding incredible value every step of the way.
The ideas we'll discuss are at the core of tools like Langchain, langgraph, Autogen, and CrewAI. While these tools are powerful, they're often overkill. Powerful AI Agents can be built simply by combining together several prompts in certain patterns and workflows. Call it prompt chaining, prompt orchestration, prompt graphs or whatever you like. From constructing compelling blog posts with the snowball prompt chain to building entire software modules via the worker pattern, this video is a goldmine for anyone looking to deploy AI in practical, impactful ways. Consider a free AI Prompt Engineering Course where we'll reveal several prompt orchestration patterns like the fallback prompt chain, a pattern than can save you time and money while ensuring your AI Agents are still reliable and effective.
It doesn't matter what you're building. AI Coding Assistants, Research Assistants, Personal AI Assistants, CLI Tools, all benefit from your ability to build prompts and your ability to compose prompts into useful patterns. Let's walk through seven distinct prompt chains, including the innovative snowball and worker patterns, showing you the path to automated content generation, sophisticated research tools, and even custom AI coding assistants. Discover how to make your software think, adapt, and solve problems with minimal input, unveiling a future where your software development process is as dynamic and intelligent as the market demands.
Composability, and Reusability are a big idea we focus on on the channel. AI Agents are no different. The more you can compose prompts together, the more powerful your AI Agents will be. The more you can reuse prompts, the more efficient your AI Agents will be. This is the future of software engineering. This is the future of AI Agents. This is the future of Agentic Applications.
✏️ Get These 7 Prompt Chains (Gist): gist.github.com/disler/409d96...
🗣️ Talk To Your Database (Text to SQL to Results): talktoyourdatabase.com/
🐍 LLM Python Module: llm.datasette.io/en/stable/py...
🤖 LLM Claude Python Module: github.com/simonw/llm-claude-3
🛠️ How to Engineer Multi-Agent Tools: • How to Engineer Multi-...
🔮 2024 Predictions (AI, LLM, Coding, Agents): • 2024 Predictions for A...
📚 GPT Research (Worker Prompt Chain): github.com/assafelovic/gpt-re...
#aiagents #promptengineering #gpt

Пікірлер: 69

  • @vincentjean6756
    @vincentjean67562 ай бұрын

    Anybody else feeling overwhelmed with excitement? AI coding took over my life.

  • @Lucky9_9

    @Lucky9_9

    2 ай бұрын

    YES!! Is there a support group? Because I would honestly love to talk to people who are as obsessed with coding random AI projects as I am lol

  • @vincentjean6756

    @vincentjean6756

    2 ай бұрын

    @@Lucky9_9 Agentic Coding Anonymous

  • @Lucky9_9

    @Lucky9_9

    2 ай бұрын

    @@vincentjean6756 very sad this isn’t an actual thing lol

  • @TheExodusLost

    @TheExodusLost

    2 ай бұрын

    Were you guys coders before ai came to be useful? What kind of projects do you build and what models/apps do you guys recommend? Happy to be among fellows.

  • @vincentjean6756

    @vincentjean6756

    Ай бұрын

    @@TheExodusLostWell... I have been surrounded by code all my life. I am an options trader and entrepreneur since I was a teenager. Always built some tools to help my projects with some success. AI coding took my low quality projects to a level where I would actually pay thousands of dollars to a freelancer to do the same work. I can now do it myself if a few hours where it would take weeks of back-and-forth to achieve the same work with a human coder. People always think that they need some kind of "ideas" to make "new" tools to sell in order to make money with AI. What people do not realize yet, is that they are their own customers. They power of AI is in ultra-personal and specific tools for a very niche work for maybe one or two individual (including yourself). They are the customer of their own custom tool.

  • @TheEarlVix
    @TheEarlVixАй бұрын

    Brilliant. Run the cheaper, faster models first! Good stuff, Dan.

  • @aaronoquendo
    @aaronoquendoАй бұрын

    Keep going bro! Love your content. You are a pioneer in this space. No one else that I know on youtube is providing the value that you are providing to the development community.

  • @djannias
    @djannias2 ай бұрын

    🎯 Key Takeaways for quick navigation: 00:28 *🌨️ Snowball Prompt Chain gradually develops information over multiple prompts, enhancing context with each iteration, and concluding with a summary or format prompt.* 03:14 *🛠️ Worker Pattern involves delegating tasks to individual prompts, processing them in parallel, and consolidating results into a final report, ideal for research tasks.* 07:26 *🔄 Fallback Prompt Chain allows switching between different prompts or models if one fails, ensuring continuous operation and reliability.* 12:50 *🤔 Decision Maker Prompt Chain enables AI agents to make decisions based on prompt results, guiding subsequent actions or prompt chains.* 15:07 *📝 Plan and Execute Prompt Chain involves planning tasks first, executing them based on the plan, and concluding the process.* 16:44 *🔄 Human in the Loop Prompt Chain integrates user feedback into the prompt chain, allowing iterative refinement until desired results are achieved.* 17:38 *💬 The chat GPT application operates on a prompt-response flow, highlighting the potential for entire products built around this interaction.* 18:32 *💡 There's an ongoing innovation push beyond chat interfaces, exploring diverse prompt chain applications like talk to your database's call-response format.* 19:01 *💬 The human-in-the-loop framework, commonly used in chat interfaces, can be expanded creatively by combining different prompt chains for varied user experiences.* 19:45 *🔁 The self-correction prompt chain involves executing a prompt, checking for correctness, and self-correcting if necessary, proving useful for coding, executing, and reviewing tasks.* 21:21 *🛠️ Seven prompt chains offer diverse workflows for building powerful AI agents and agentic systems, paving the way for innovative product development beyond conventional chat interfaces.* Made with HARPA AI

  • @indydevdan

    @indydevdan

    Ай бұрын

    Shout out HARPA AI devs.

  • @implexai
    @implexaiАй бұрын

    Great video. Love to hear about your AI assistant.

  • @agenticmark
    @agenticmarkАй бұрын

    having spent years espousing the benefits of functional programming, being able to use that same model for my agents is priceless. Great job on this video Dan!

  • @JakeWoken

    @JakeWoken

    Ай бұрын

    Exactly!!! Me too. Always loved functional programming and applying the same concepts here (just functions branching and piping) is very refreshing.

  • @vroep6529
    @vroep6529Ай бұрын

    subprocess module looking nice lately

  • @BossAIBiz
    @BossAIBizАй бұрын

    This is super awesome. We built a voice AI software intertwined with ghl on a ton of other AI. Trying to figure out a self-updating method. Can review certain number of transcripts figure out corrections and way to smooth out the bot double triple check that. Then update.

  • @dcmumby
    @dcmumbyАй бұрын

    loving your videos dan , super excited to see your ai development

  • @jindrichsirucek
    @jindrichsirucekАй бұрын

    Definitely interested in the AI assistant🎉❤ I'm building my own too

  • @mr.daniish
    @mr.daniish2 ай бұрын

    Omg Dan! This was pure gold. Thank you.

  • @zkiyyeller3525
    @zkiyyeller35252 ай бұрын

    Thank you Dan. Really appreciate the energy you thought you put into this!

  • @lakergreat1
    @lakergreat12 ай бұрын

    Yes please, let's see the AI assistant you are building

  • @YossiDahan-
    @YossiDahan-2 ай бұрын

    An absolute banger, thank you Dan for sharing these incredible insights ❤

  • @teriannet7163
    @teriannet71632 ай бұрын

    Very good Video! Thanks for laying this out so well. Its been interesting to see what happens when you start combining system prompts into this as well.

  • @gileneusz
    @gileneusz2 ай бұрын

    bro, this video is pure gold

  • @vincentjean6756
    @vincentjean67562 ай бұрын

    Dan... AI MASTER! Thanks for your ideas.

  • @AleemAhmed
    @AleemAhmedАй бұрын

    The first 10 seconds, total wisdom 👍

  • @ModernCentrist
    @ModernCentrist2 ай бұрын

    This is such good information! Thanks for making this, I've really been struggling with the design of my agent tasks.

  • @paraconscious790
    @paraconscious790Ай бұрын

    As usual great Stuff Dan!!! Please create the further videos in this series like Talk to your DB.

  • @xxxxxx89xxxx30
    @xxxxxx89xxxx30Ай бұрын

    Bro... you just gave us patterns!

  • @mlg4035
    @mlg4035Ай бұрын

    Superb information! Thank you!!

  • @DARKSXIDE
    @DARKSXIDEАй бұрын

    Great job dan u should contribute to big agi they have a beam feature that integrates output from multiple llms and i think ur prompt structure would be a great addition to it

  • @DARKSXIDE

    @DARKSXIDE

    Ай бұрын

    I will put a link to ur vid in their discord dope work

  • @indydevdan

    @indydevdan

    Ай бұрын

    big thanks, I have my eyes on big-AGI. Development looks solid.

  • @rude_people_die_young
    @rude_people_die_youngАй бұрын

    Great work - will have work this out in typescript 🎉

  • @dsm1573
    @dsm15732 ай бұрын

    awesome tutorial! thank you!!

  • @christopherhyatt7229
    @christopherhyatt72292 ай бұрын

    Thanks Dan great work man!

  • @wellbishop
    @wellbishop2 ай бұрын

    Really awesome, man! tks 4 sharing

  • @loryo80
    @loryo802 ай бұрын

    thank you so much, very high quality content as usuel

  • @free_thinker4958
    @free_thinker49582 ай бұрын

    Pure quality content ❤💯

  • @Lousircus
    @LousircusАй бұрын

    Great info. Subbed

  • @malikrumi1206
    @malikrumi12067 күн бұрын

    "The right sequence of prompts combined with your unique domain knowledge is an entire five six or seven figure product in itself." This powerful and seductive statement may well be true, but, just to make sure neither you nor your audience is hallucinating, **How do you know this? Where is your citation to the source for this statement? How can we verify it?** Academic studies, something from arXiv, Entrepreneur, Inc. Mag, The US Dept of Labor, anything? Thanks.

  • @GuidedBreathing
    @GuidedBreathing2 ай бұрын

    Great !

  • @mariusorani
    @mariusorani2 ай бұрын

    Great! Keep up the good work. Btw which Theme are you using? The transparency and colors... love it

  • @TheVideoMarshall
    @TheVideoMarshall2 ай бұрын

    Been trying to get AG studio to run a workflow but the final stage agent keeps interrupting. Have you successfully got chaining and snowballing working on Autogen Studio?

  • @SHIVAMSHARMA-sj2yw
    @SHIVAMSHARMA-sj2ywАй бұрын

    if we have to choose between Agentic framework and prompt chaining which should we prefer ?

  • @zoranProCode
    @zoranProCode2 ай бұрын

    very nice

  • @flight5056
    @flight50562 ай бұрын

    @indydevdan cool stuff, question; any partiicular reason for using Martin's LLM? it is nice but half plugins dont work anymore, it¨s maintained by a singel person, Could LLM be substituted with another package like ollama?

  • @indydevdan

    @indydevdan

    Ай бұрын

    100% use any LLM package you prefer. I'm a fan of Simonw and his LLM package so I use it from time to time.

  • @Mephmt
    @Mephmt2 ай бұрын

    Congrats on 10k! I'm extremely interested in a personal AI assistant. I've been eyeballing OpenInterpreter and their 01OS for a bit, but haven't taken the plunge. I'd be interested in seeing what you're ideas for an assistant. OI is using STT/TTS for the 01 project using Arduino. However, I'd rather use a smart phone app as it can be installed on multiple phones easily and the phones already have the necessary, and additional, hardware for this part of the job.

  • @riiis3058

    @riiis3058

    Ай бұрын

    I'm also on a quest for a personal AI Assistant. I'll bet there's a way to use the resources on a smartphone, one could easily use Devon or SWE to replace the Arduino code or convert. Connecting to OpenInterpreter could be done over wirelessIP or bluetooth.

  • @indydevdan

    @indydevdan

    Ай бұрын

    huge thanks - we will 100% cover, design, build and discuss personal AI assistants on the channel. It is one of the most important Agentic applications any of us can build/use.

  • @Mephmt

    @Mephmt

    Ай бұрын

    @@indydevdanI totally agree! I can't wait! Really looking forward to it!

  • @zatoichi1

    @zatoichi1

    9 күн бұрын

    Man, just thinking about all these different solutions makes me realize that all OS as we know it are just near future trash.

  • @chrisfish71
    @chrisfish71Ай бұрын

    You should have called it Design Patterns for AI prompting. You'll be the new gang of 1. Or maybe Gang of 10k+

  • @sanjaygupta4
    @sanjaygupta4Ай бұрын

    gold

  • @FranAbenza
    @FranAbenzaАй бұрын

    When are you gonna try instructor 1.0.0? Game changer with pydantic

  • @indydevdan

    @indydevdan

    Ай бұрын

    Great call out - it's worth a whole video. Several cons and many pros to a tool like that but overall I agree with you. It's a total game changer with pydantic.

  • @re_styles
    @re_styles2 ай бұрын

    "software now is"..., Welcome everyone to my vision into the future. 11 yrs earlier...🤷

  • @ExSpoonman
    @ExSpoonmanАй бұрын

    Hey, Dan, did you read what your snowball wrote, bud? You're a smart man, Dan, so I know you've heard about Dead Internet Theory. And yet you thought this video was a responsible decision to create. Are you that hard up for money, Dan? Are you?

  • @JoSeph-cu2sr
    @JoSeph-cu2sr2 ай бұрын

    i have programing background, started in 94. I cant undertand most of what you say because you removed all natural respiration and ponctuation and smashed all words. its unintellegible. rubbish

  • @iseverynametakenwtf1
    @iseverynametakenwtf12 ай бұрын

    the hand movement is so distracting and the thump thump.

Келесі