Jesse Draper, the founder and general partner at Halogen Ventures in Santa Monica, runs venture capital on the same clock as three boys: she usually wakes up at 5 a.m., and by the time her youngest comes downstairs (often close to 6), her “quiet time” is basically over. In her “day in the life” account, she describes an operating cadence built for two pressures at once: being a VC in a relationship business and being a parent in a family logistics business.

That pairing matters because Draper’s job is not just analyzing decks, it is trust. She explicitly frames venture capital as “a trust business,” which is why she tries to get face-to-face meetings in whenever possible, even as she also groups her calendar into mostly Zoom days or mostly in-person days to avoid the cognitive cost of constant switching. Her day also includes a constant stream of email, portfolio monitoring, and pitches. On pitch days, once or twice a month, she takes up to 12 30-minute pitches, and she says she uses rigorous notes for every meeting.

Halogen Ventures is already operating at meaningful scale: Draper says Halogen is on its third fund and has over 100 female-founded businesses, with six valued at over $1 billion. She also explains why she started the firm in 2015, citing the lack of women in tech. That context is not trivia. When a VC firm has a large portfolio, the “day” becomes a system, not a vibe. Draper describes having around 100 investors and 100 portfolio companies, which means new people, new updates, and new questions arrive continuously. The second-order effect for boards and founders is clear: when the decision-maker is maintaining that many relationships simultaneously, clarity in process and verification becomes a competitive advantage.

Her AI usage is tightly connected to that verification mindset. Draper says she uses AI for work tasks with multiple tools: ChatGPT and Claude for general tasks, Harvey AI for legal, and Perplexity. She emphasizes efficiency and uses AI across “everything from health to work to board decks.” In a world where startups move fast and information quality varies wildly, her most concrete prompts focus on risk and leverage.

First, she targets the scam problem directly. When a consumer brand targeted her on Instagram that she had “never heard of,” she says she would pop it into ChatGPT or Claude and ask: “Is this a real or fraudulent company?” She adds that she has “almost been scammed by numerous fraudulent companies,” and calls this prompt a “great hack.” Second, she uses AI as a strategist for customer acquisition. Her second prompt is specific: “You’re a social media strategist for (fill in the blank) consumer technology company. Please audit their socials, tell me where you believe they're leaving money on the table, and map out a 6-month social media marketing plan with this budget in mind.” For founders and investors, the implication is that AI is not being used as a magic wand. It is being used as a structured analyst that forces a plan and an audit, with a timeline and budget.

Third, she uses AI for fundraising feedback, which is where the prompt becomes a proxy for investor skepticism. For fundraising for founders or funds, she uses: “This is my fundraising pitch. Pretend you are a discerning potential investor. What would you ask that isn't addressed in this deck?” In other words, she is stress-testing whether the narrative anticipates the questions that can stall a process. This is especially relevant because she says she tries to schedule lunch and bathroom breaks, but they “rarely happen,” often eating lunch in her car or at her computer. When time is tight, the cost of a missing investor question or unclear deck logic is higher than in slower environments.

Her day also reveals how a high-volume VC survives emotionally and logistically without pretending it is easy. She says her husband and she split drop-off, but she does not do pickup, with a nanny and plenty of help. If she is not doing drop-off, she works out. She has a trainer come to her house two to three times a week, and they do runs, cross-training, and strength work. She describes herself as disciplined, not because she loves workouts, but because scheduling training became part of her mental resilience.

She even ties this discipline back to long-term change: she recently did her first triathlon, giving herself three months to train, and she says it was one of the hardest mental challenges she has done. She adds she “wasn't fast” and “finished dead last,” but she completed it. That anecdote is not about athletic flexing. It is about building a system to make the impossible happen under constraints, the same constraint-management she applies at work with a weekly to-do list and constant reprioritization.

The meeting machine eventually ends. Draper says she tries to end meetings by 4 p.m. because her kids are usually home by then, and she comes home to high-five them and get back to work with minimal interruptions. Dinner depends on timing: around 5:30 p.m. the kids eat, a chef comes on Wednesdays to make prepared meals, and some nights end in order-in chaos. She tries to say hi during dinner but does not usually have family dinner on weeknights. Weekends are different: she says she cooks, makes Bolognese and lasagna, and also a three-minute hot fudge sauce, and baseball season drives most evenings, with her husband signing all three boys up for teams.

So what should decision-makers take from this? Draper is operating a VC firm with scale, and she treats time as the scarce asset. She also treats information quality as a risk surface. In a market where startups, investors, and brands all generate signals, her workflow suggests that speed without verification is how you get burned, and that AI can help if it is used to ask specific questions, demand audits, and anticipate investor skepticism. For CEOs, CFOs, and board members, the strategic stake is simple: if your investors and diligence partners are using structured prompts and rigorous notes to triage risk and missing narratives, then clarity in your materials and credibility checks in your ecosystem can directly influence how quickly you move from interest to conviction.