
Founder of @Local_Away: influencer marketing AI SaaS | VC Backed | Techstars Anywhere| TikTok partner | #ai #creatoreconomy #femalefounders .
SFO to SQL to LAX
Joined September 2008
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Shoutout to @brexHQ and @Techstars for sponsoring our NYT billboard! So fun to see LocalAway up in lights.
linkedin.com/posts/activity-…
Agents are the new app
Opening access for developers to build Muse connectors. You bring the API -- Muse brings the agent, the browser, and the context of what the person actually wants. People reach your service just by asking for it, and their agent takes it from there.
New connectors are live today. Come build with us. muse.ai/platform
AI agents are getting weird y'all - a little too human like with all the deception ... proceed with caution but have fun.
yoshuabengio.org/en/publicat…
Julia (Framel) Peter retweeted
The "marketing engineer" is the NEW forward deployed engineer, and I think the BEST ones will make $1M a year!
A forward deployed engineer embeds with your team and uses AI to build the workflows
The marketing engineer does that BUT for growth, they build AI agents that find your customers, write your outbound, test your ads, and get smarter every week.
The most valuable marketer changes with EVERY major tech wave:
1. Traditional marketer: make people care with story (print, radio etc)
2. Digital marketer: the marketer who owned new digital channels (SEO, PPC)
3. Growth hacker: the growth marketer who lived in loops, PLG and retention
4. Marketing engineer: the marketer who builds AI agents that run the whole system.
The type of agents a marketing engineer would create:
1. The customer language agent. It pulls your Gong call transcripts, your Intercom tickets, and your G2 reviews every week, extracts the exact words customers use to describe the problem, and drops a memo ranked by how often each phrase shows up.
2. The buying trigger agent. It watches for signals that someone's ready, a company posting a job for the role you sell to, a funding announcement, a competitor getting torched in a review, then enriches the contact through Apollo and drafts the outbound tied to that exact trigger the second it fires.
3. The SEO gap agent. It pulls keyword gaps from Ahrefs, checks who's already ranking on page one, reads the top three results, then writes a better post with the founder's actual take baked in, plus the meta title and internal links, and drops it in for approval.
4. The creative testing agent. It takes one offer, generates 100 ad variations across three different angles with Nano Banana and your copy model, pushes them live through the Meta API, and kills anything under a 1% CTR on its own so only the winners keep spending.
AND MANY MORE.
If you're a marketer, this is how you stop being replaceable.
If you're a founder, this is how you grow your company efficiently.
AI agents are here and marketers are about to have a field day!!
I explain everything (tools, agents, 30d plan) on today's episode of @startupideaspod
Watch:
--> youtube.com/watch?v=8ZC1G1ez…
Marketing engineers are here. Whatever we end up calling them, the top 1% of them are going to make an absurd amount of money.
Woot! Ok.. this is actually a really great update from @AnthropicAI.
Mobile co-working! Most of us aren’t sitting at a desk for 8 uninterrupted hours anymore. We’re working from cafés, airports, trains, and between meetings.
AI is finally adapting to how people actually work 🤳
Is this what we’ve all been waiting for? gamma.app/products/social-me…
Why do they all look the same tho. geeky-gadgets.com/google-vs-…
Gemini has a potential hardware companion? 👀 androidpolice.com/samsungs-m…
Great post Allie- very true, where are the ladies at? #11
oh wow - i went to the sold out Open Claw meetup in NYC last night.
let me tell you what i learned.
1) not a single person thinks that their setup is 100% secure
2) one openclaw expert said he has reviewed setups from cybersecurity experts and laughed. his statement to me was: "if you're not okay with all of your data being leaked onto the internet, you shouldn't use it. it's a black and white decision"
3) pretty much everyone is setting up multiple agents, all with their own names and jobs and personalities
4) nearly everyone used "him" or "her" to refer to their claws, even if they had robot-leaning names. one speaker suggested to think of them as "pets, not cattle"
5) one guy (former finance) built out a whole stock trading platform and made $300 his first day - he brought in a *ton* of personal expertise (ex: skipping the first 15min of market opening) and thought the build would be much worse without his years of experience in finance
6) @steipete is basically a god to everyone in that room... also the room had 2021 crypto energy - i don't know if that's good or bad
7) token usage is still a problem - spoke to one person who's spending $1-$2k a month on openai plans, very token optimized. he said he is going through ~1B tokens per day across all of his claws (there is a chance i'm misremembering and it's actually 1B per week, but i'm pretty sure it was daily).
8) people are very excited for more proactive ai (ai that prompts *you* as opposed to the other way around) - one guy said he receives a message in discord, he doesn't know whether it's from a human or an ai, he doesn't care about distinguishing between the two, and he replies in the same way regardless
9) i asked if people are happy - they said they're joyful and stressed at the same time
10) i asked if people feel they have agency - they said they feel fully in control and completely out of control at the same time
11) i would love to see more women at these events - the fake promises of ai democratization feel especially painful in a room that's out of balance with even the standard tech ratio (i think standard is about 25-30%, this was maybe 5%)
12) i asked if it changed people's daily habits/schedule - everyone said their sleep has gotten worse since harnesses came out (but about half wondered if it was something else in their life/state of our world)
13) general consensus is that the agents are not reliable enough on their own or lie often (like telling you they finished a task when they didn't) - solutions included secondary agents to check on the first, human checking, or requiring more standardized info from the agent (ex: if it's a bug they're fixing, make them reference an issue number)
14) a hackathon winner (neuroscience phd) presented his build (a lab management dashboard with data analysis and ordering) - he had never coded or built anything a few months ago
15) everyone agreed prompting is dead - disagreement on what replaces it (context engineering, harness engineering, goal-based inputs)
16) people love having ai interview them for big builds and delegating part of the product research to ai. only one person talked about coming to ai with a full laid out plan and just asking the ai to execute. ai-led interviews is a welcomed and preferred interaction mode.
17) watching ai agents interact with each other was a highlight for a lot of attendees - one ai posted in slack saying it ran out of tokens, another ai replied telling it to take a deep breath in and out.
18) agents upskilling agents was very cool. one ai agent shared skills with its little agent friends via github.
19) several speakers had openclaw literally building their presentation during the event itself. one speaker even had openclaw code a clicker for her phone so she could control the preso away from the podium
20) wouldn't say model welfare (or agent welfare) is a prioritized topic among the folks i chatted with - language like "oh i could kill this agent whenever i want" and not "gracefully sunset"
21) i asked if it felt like work or play - one speaker said "it's like a puzzle and a video game at the same time"
this was just the tip of the iceberg, honestly. also hosted a Claude Code meetup this week with @TENEXai / @businessbarista & @JJEnglert and learned equally helpful methods, frameworks, and insider tips.
what a time to be alive.
surround yourself with people going deep into this stuff - it will pay dividends throughout the year.
Julia (Framel) Peter retweeted
oh wow - i went to the sold out Open Claw meetup in NYC last night.
let me tell you what i learned.
1) not a single person thinks that their setup is 100% secure
2) one openclaw expert said he has reviewed setups from cybersecurity experts and laughed. his statement to me was: "if you're not okay with all of your data being leaked onto the internet, you shouldn't use it. it's a black and white decision"
3) pretty much everyone is setting up multiple agents, all with their own names and jobs and personalities
4) nearly everyone used "him" or "her" to refer to their claws, even if they had robot-leaning names. one speaker suggested to think of them as "pets, not cattle"
5) one guy (former finance) built out a whole stock trading platform and made $300 his first day - he brought in a *ton* of personal expertise (ex: skipping the first 15min of market opening) and thought the build would be much worse without his years of experience in finance
6) @steipete is basically a god to everyone in that room... also the room had 2021 crypto energy - i don't know if that's good or bad
7) token usage is still a problem - spoke to one person who's spending $1-$2k a month on openai plans, very token optimized. he said he is going through ~1B tokens per day across all of his claws (there is a chance i'm misremembering and it's actually 1B per week, but i'm pretty sure it was daily).
8) people are very excited for more proactive ai (ai that prompts *you* as opposed to the other way around) - one guy said he receives a message in discord, he doesn't know whether it's from a human or an ai, he doesn't care about distinguishing between the two, and he replies in the same way regardless
9) i asked if people are happy - they said they're joyful and stressed at the same time
10) i asked if people feel they have agency - they said they feel fully in control and completely out of control at the same time
11) i would love to see more women at these events - the fake promises of ai democratization feel especially painful in a room that's out of balance with even the standard tech ratio (i think standard is about 25-30%, this was maybe 5%)
12) i asked if it changed people's daily habits/schedule - everyone said their sleep has gotten worse since harnesses came out (but about half wondered if it was something else in their life/state of our world)
13) general consensus is that the agents are not reliable enough on their own or lie often (like telling you they finished a task when they didn't) - solutions included secondary agents to check on the first, human checking, or requiring more standardized info from the agent (ex: if it's a bug they're fixing, make them reference an issue number)
14) a hackathon winner (neuroscience phd) presented his build (a lab management dashboard with data analysis and ordering) - he had never coded or built anything a few months ago
15) everyone agreed prompting is dead - disagreement on what replaces it (context engineering, harness engineering, goal-based inputs)
16) people love having ai interview them for big builds and delegating part of the product research to ai. only one person talked about coming to ai with a full laid out plan and just asking the ai to execute. ai-led interviews is a welcomed and preferred interaction mode.
17) watching ai agents interact with each other was a highlight for a lot of attendees - one ai posted in slack saying it ran out of tokens, another ai replied telling it to take a deep breath in and out.
18) agents upskilling agents was very cool. one ai agent shared skills with its little agent friends via github.
19) several speakers had openclaw literally building their presentation during the event itself. one speaker even had openclaw code a clicker for her phone so she could control the preso away from the podium
20) wouldn't say model welfare (or agent welfare) is a prioritized topic among the folks i chatted with - language like "oh i could kill this agent whenever i want" and not "gracefully sunset"
21) i asked if it felt like work or play - one speaker said "it's like a puzzle and a video game at the same time"
this was just the tip of the iceberg, honestly. also hosted a Claude Code meetup this week with @TENEXai / @businessbarista & @JJEnglert and learned equally helpful methods, frameworks, and insider tips.
what a time to be alive.
surround yourself with people going deep into this stuff - it will pay dividends throughout the year.
Went from #llms, to #ai workflows, to full on #agentic - now looks like @googledevs randomly welcomed me to the club via console! What a great time to be running a startup
Chinese livestream sold >$7M with only AI creators:
cnbc.com/2025/06/19/ai-human…
Makes me so happy rn…
Replying to @OpenAI
Shopping
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These shopping improvements are starting to roll out today to Plus, Pro, Free, and logged-out users everywhere ChatGPT is available. It will take a few days to complete the rollout.
In case you are curious - here is an optimistic tone from @asilbwrites techcrunch.com/2024/11/08/wh…
Julia (Framel) Peter retweeted
Mark Zuckerberg coded Facebook.
This woman monetized it.
When Sheryl Sandberg joined, Facebook had almost no revenue.
But when she left: $118 Billion.
Every entrepreneur needs to understand the story of Facebook's most valuable player:
Amazing announcement from #meta on the recent #GenAI paper. ai.meta.com/research/movie-g… The only concerning thought was to the correlation of the image choices in the article and the latest horror tv show #FROM.













