Autonomous AI Agents Launchpad by Palo Alto Research Labs🎓 in 📍San Francisco🌉
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Latest Posts
Ai Agents Pad from Silicon Valley ENG CHANNEL
Apr 26, 2026, 02:21 PM
So far, no issues with the CRM — it handles leads on its own ✅
What we are still working on is educating the Zero Inbound agent 🤖: teaching it not to invite everyone to join the team and not to duplicate replies.
Filtering out “job requests” and cleaning up the prompt 📝
While testing the Zero Inbound agent, a new pattern surfaced:
• many leads reach out about jobs, vacancies, or generic “give me a job” scenarios
• previously, the agent was too agreeable — saying “we’re open to everything” and inviting everyone to a call
We’ve cut that behavior out:
• updated the prompt so the agent doesn’t take on hiring commitments
• simplified and softened responses so they’re lighter and more to the point
💡 Deep refactor of the message pooling logic
Most of the work focused on how message pooling works — when the agent needs to process not a single message, but a batch of messages sent by a lead in a row.
⚡️ Intended design:
• the first incoming message triggers the workflow
• all following messages go into a waiting pool: marked as read, but not triggering anything
• the agent waits for the pool to fill and then sends one response that accounts for the entire message sequence
What went wrong 🧐:
• in reality, two independent flows were running
• the agent couldn’t “see” its own previous replies within this logic
• as a result, it could respond to the second or third message with essentially the same reply again
What we changed ✅:
• introduced a full lock on parallel processes until the agent finishes generating a complete response (30–90 seconds of work)
• updated the logic so the agent’s own replies are also considered within the flow
⚙️ Result:
• the probability of duplicate replies is now minimal — still theoretically possible, but very unlikely
• achieving 100% protection would require a much more complex architecture, which we’ll only move toward if the current version proves insufficient
If you want to bring order to your leads and CRM funnels, feel free to reach out 💬
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Ai Agents Pad from Silicon Valley ENG CHANNEL
Apr 26, 2026, 02:21 PM
#Biz_Achieves_Diary — 22/12/’25
Is it hard to build an AI agent? Yes, it is.
I hear this question all the time: building an agent itself isn’t that hard, but tailoring it to a very specific use case is really hard.
For an agent to communicate like you and strictly follow a script, you have to tweak, adjust, and refine the prompt hundreds or even thousands of times.
By the way, interesting calls from yesterday:
1\ http://S9catgroup.com/ | Pat
Incubator, accelerator, and VC
Helps with marketing
Hosts trading-related events
Has a VC fund syndicate
2\ Adam
AI startup focused on deepfake protection
Has revenue, raising $2–2.5M
Hackathon winners
===============
Intro groups from yesterday:
• Linqa App 🤝 BTS
• Linqa App 🤝 http://AltaClub.vc/
• Kaiko 🤝 Stellar Foundation
and 25+ more groups after 10 calls…
If you also want to automate lead generation, DM me. We’ll make it happen.
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Ai Agents Pad from Silicon Valley ENG CHANNEL
Apr 26, 2026, 02:21 PM
#Biz_Achieves_Diary — 20/12/’25
It was really hard to find the right CRM for my team — they communicate with VCs, founders, and more…
After trying 20+ CRMs over time, I realized it was better to build our own from scratch — and I was right.
Yesterday’s calls:
1\ Sarids | CryptoCup
Investors, B2B company
Active in OTC, provide advisory
Promote projects, marketing
2\ Max Lighter
Investor, based in Dubai
Organizes events
Advises projects, OTC
===============
Intro groups from yesterday:
• Jeff 🤝 CROC Capital
• Zenix Pad 🤝 Yobe Ventures
• Max 🤝 RnDAO
…and 25+ more groups after 10 calls…
If you want to automate lead generation too, write to me. We’ll set it up.
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Ai Agents Pad from Silicon Valley ENG CHANNEL
Apr 26, 2026, 02:21 PM
While the CRM handles chats and books calls on its own, we’ve been focusing on the migration and continuing to train our Inbound agent 🤖
n8n v2 Migration: now truly complete
It turned out the previous migration wasn’t fully finished:
• All scripts had been converted to JavaScript
• But native Python nodes still didn’t work
At first, this went unnoticed because critical flows had already moved to JS. However:
• In new scenarios, Python nodes are still useful when we just need to work with data from a single previous node
• We had to dig into the image configuration and Docker environment separately
In the end, we discovered that last time everything ran as “everything works except Python containers.” Today we fixed it and tuned the image ✅ — now both JS and Python nodes work correctly, and the system has stabilized.
🗓 A week with the Inbound agent: mistakes, humor, and lots of guardrails
Over the past week, we collected quite a few real-life cases with our Inbound bot:
• Someone waited for us in a café ☕️ because the agent enthusiastically agreed to offline meetings
• In some cases, the bot started discussing money 💸 and deal terms
• There were situations where leads sent Zoom links and didn’t understand why the “person” didn’t join 👩💻
These cases highlight the importance of:
• Strictly limiting what agreements the agent is allowed to make 🚫
• While still keeping the conversation lively and covering a wide range of topics 💬
Working on complex guardrails
• Short and concise ✂️
• As comprehensive as possible 🧩
Fact-checking and personal context
Another topic that came up was personal account factology:
• Leads sometimes know real-life details about a person (kids, personal facts, etc.) and confidently ask about them 👀
• The agent, not having this data in the database, logically “denies” it and says it doesn’t know 🤷
We understand that these facts need to be carefully added to the knowledge base if we want to maintain natural communication 🌱. But there are too many cases to cover at once, so this will be a long and meticulous process: gradually adding context, testing new scenarios, and improving the agent’s behavior step by step 🐢.
If you want a more systematic approach to leads and processes, we can set up the same CRM for you 💻
Ai Agents Pad from Silicon Valley ENG CHANNEL
Apr 26, 2026, 02:21 PM
#Biz_Achieves_Diary — 19/12/’25
What’s the biggest pain for a founder? Fundraising — of course, raising money.
For B2B and B2C, it’s finding customers.
And for VCs? Finding good projects without digging through tons of weird, low-quality deal flow.
Speaking of yesterday’s calls:
1\ Pawan
Angel investor, does OTC deals.
Previously worked at Binance.
Building his own project now.
2\ Viking | Victus Global
(I think my team and I have talked to almost every BD at Victus by now.)
Also active in OTC, focused on volume.
They have a VC arm, looking at AI, Web3, and RWA.
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Intro groups from yesterday:
• OpenIntro 🤝 GTM Labs
• Fractl Sales 🤝 Curio Chain
• Jeff 🤝 SearchPad
…and 25+ more groups after 10 calls.
If you want to automate lead generation as well — DM me. We’ll set it up.
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Ai Agents Pad from Silicon Valley ENG CHANNEL
Apr 26, 2026, 02:21 PM
#Biz_Achieves_Diary — 18/12/’25
I’m sitting on a lot of quantitative data now — real stats (it was honestly pretty hard to calculate conversion rates).
For outreach:
how many people replied,
how many calls my AI agents booked.
For the gatekeeper:
how many people joined the group,
how many were pitched,
how many calls were booked, etc.
Yesterday’s calls:
1\ GSG
Multiple projects and businesses.
A music-related project currently fundraising.
Looking for VCs and outreach tools.
2\ WEEX | Luna
Exchange with ~$7B daily volume.
6–7M daily active users.
Listings priced at $20k, $30k, and $40k.
===============
Intro groups yesterday:
• Ian 🤝 ABO
• Bittopia 🤝 Stellar
• Bittopia 🤝 Midnight Foundation
and 25+ more groups after 10 calls…
If you want to automate lead generation as well — DM me. We’ll set it up.
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Ai Agents Pad from Silicon Valley ENG CHANNEL
Apr 26, 2026, 02:21 PM
Today we focused on two things: controlling the bot’s conversations and migrating all workflows to n8n v2.
1. Continuing to “train” the Inbound agent
Small things, but important:
• we keep monitoring real conversations
• collect cases where the agent’s behavior isn’t satisfactory
• based on those cases, we make targeted tweaks to prompts and logic so the agent becomes more predictable and genuinely useful
2. New dashboard for agent conversations
I built a handy dashboard to monitor how the bot is working:
• you can see all users the agent talked to during the current day
• a counter shows how many messages the agent sent to each user
• there’s a direct link to our internal CRM by ID, so you can instantly jump into the right conversation
• if you view it from an account where the bot is installed and authorized, usernames are also visible, so you can quickly open Telegram, read the chat, and evaluate the agent’s performance
In practice, this is now the most convenient way to:
• control exactly what the agent is saying
• spot edge or controversial cases
• collect material for further improvements
3. Full migration to n8n v2
The biggest part of the day went into a complete migration of our automations to n8n v2:
• it became clear that the old approach with Python nodes no longer works — you can’t reference more than one node back
• the simplest solution was to fully switch from Python to JavaScript
As a result:
• I refactored over 70 workflows
• all Python scripts were rewritten in JavaScript (thanks to Claude and ChatGPT for speeding up the conversion)
• we reconfigured and relaunched the updated self-hosted instance
Everything is running smoothly now, with all processes already on v2. We’re on a modern n8n version with access to all the latest features and updates. The migration was inevitable — and now it’s finally behind us.
If you want to automate your lead workflows as well, feel free to reach out — we can build a CRM tailored to your use case 💬
Ai Agents Pad from Silicon Valley ENG CHANNEL
Apr 26, 2026, 02:21 PM
#Biz_Achieves_Diary — 17/12/’25
My AI agents are now writing outreach on their own based on my brief — they decide who to message, what text to send, and how to communicate.
Then they collect the replies, analyze them, and continue the conversation with those who are responsive.
Speaking of yesterday’s calls:
1\ Dominic Dumont
A service for intros and expert calls.
Calls start from €99 (depending on who you speak with).
You can discuss your project with advisors, VCs, etc.
2\ N | Project
Crypto ↔️ cash conversion.
Low fees (at least, that’s what they claim 🤔).
Raising $50–600k so far, but haven’t raised anything yet
(which kind of explains itself…).
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Intro groups from yesterday:
• OpenIntro 🤝 FUTURUM
• OpenIntro 🤝 Alpha Blocks Ventures
• Jomari 🤝 aZen VC
…and 25+ more groups after 10 calls.
What I realized recently: I’m spending less and less time on mechanical sales tasks — and that feels great.
All the routine stuff like intros, calls, chats, etc. is now handled by agents.
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Ai Agents Pad from Silicon Valley ENG CHANNEL
Apr 26, 2026, 02:21 PM
While the CRM was calmly talking to leads and booking calls, our day was spent reviewing live agent conversations, tracking model costs, and trying to upgrade n8n.
👀 Monitoring live Inbound agent conversations
We continue to closely analyze real conversations with people:
• collecting cases where the agent’s behavior doesn’t meet expectations
• making targeted prompt improvements based on those cases
• expanding the FAQ to cover edge cases and rare scenarios
💰 AI cost control
Since testing is now running on a broad live audience, we’ve enabled strict cost monitoring:
• using models 5.1 and 5.2 🤖
• tracking whether it’s economically reasonable to keep the Inbound agent running in this mode 📊
• collecting spend statistics to evaluate future scale and usage patterns 📈
🛠 Updating self-hosted n8n: surprises from the “tabular” version
The most interesting part started when we tried to move to the latest stable version of n8n for automations:
• almost a full day went into reading guides and attempting to upgrade our self-hosted image ⏳📖
• along the way, we discovered that one of the key Python nodes had changed in a way that critically doesn’t work for us
Current understanding:
• Python nodes can no longer reference outputs from multiple previous nodes beyond just one 🚫
• a large portion of our workflows was built around this behavior — Python was used very heavily 🧠
If this is not a bug but intended behavior:
• we’ll need to rewrite dozens (possibly close to a hundred) Python nodes
• migrating to n8n v2 becomes a very heavy project 🏗
We plan to clarify this behavior in the official n8n support channel before deciding on the next steps for migration.
If you want less chaos in your leads and need a CRM — feel free to reach out 💬
Ai Agents Pad from Silicon Valley ENG CHANNEL
Apr 26, 2026, 02:21 PM
#Biz_Achieves_Diary — 16/12/’25
The flow of calls has slowed down… which is totally understandable.
It’s the end of the year — nobody is really deploying capital right now.
Speaking of yesterday’s calls:
1\ evok3d | EduFi (infra) & Xara
They’re building a skills-based ecosystem.
You can get a learning roadmap for different professions.
Raising $2M via angels and foundations.
2\ Johan Cas | ZELF
Founder of several B2B and B2C businesses.
Looking for AI agents to automate processes.
Currently using HubSpot as their CRM (who still uses that?).
3\ Ian Scarffe
Helps projects with fundraising and advisory.
Works not only on success fees but also on a retainer.
Takes on projects if he likes the team.
===============
Intro groups from yesterday:
• Bittopia 🤝 Midnight Foundation
• OpenIntro 🤝 GTM Labs
• Ian 🤝 ABO
and 25+ more groups after 10 calls…
Want to set up a steady flow of calls and deals?
DM me — let’s talk about CRM.
