169 / Founders
How to compare AI voice agents with the customer’s existing workflow
AI voice agents: Compare complete workflows rather than isolated model outputs.
Read the guide →The ADIN blog
Better questions. Clearer decisions.
Practical guides and worked examples for founders, angel investors, scouts, limited partners, and fund managers.
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170 / Angel investors
How can an angel assess portfolio overlap before investing in a climate software startup?
a climate software startup: Assess overlap by the underlying exposures and dependencies of the portfolio, not only company labels.
Read the guide →171 / Limited partners
How can an LP test the portfolio construction math of a seed venture fund?
a seed venture fund: Test whether fund size, initial checks, reserves, costs, and company count fit together.
Read the guide →172 / Scouts
How should a scout identify conflicts when sharing a climate software startup?
a climate software startup: Identify conflicts when a scout works with several funds, invests personally, advises the company, or receives another form of compensation.
Read the guide →173 / Fund managers
How can a seed venture fund build a usable LP data room?
a seed venture fund: Build an LP data room as an index of evidence for the fund's claims.
Read the guide →174 / Founders
How to answer model-training questions from buyers of AI coding tools
AI coding tools: Answer model-training questions by tracing the actual provider, product tier, configuration, and contract.
Read the guide →175 / Angel investors
How should an angel reassess a follow-on opportunity in a deep tech startup?
a deep tech startup: Reassess a follow-on using the evidence and terms available now.
Read the guide →176 / Limited partners
How should an LP investigate unrealized valuations at an AI specialist venture fund?
an AI specialist venture fund: Investigate unrealized values through the policy, valuation date, evidence, and review process.
Read the guide →177 / Scouts
How can a scout turn feedback on a deep tech startup into a better next introduction?
a deep tech startup: Use feedback to improve relevance and evidence, not merely to chase a different pitch.
Read the guide →178 / Fund managers
How can an AI specialist venture fund prepare a reference process for LPs?
an AI specialist venture fund: Prepare references who can speak to specific relevant work, with their permission and without scripting an endorsement.
Read the guide →179 / Founders
How to account for human delivery work when modeling AI code review tools costs
AI code review tools: Human delivery work belongs in the operating model even when founders perform it without a salary allocation.
Read the guide →180 / Angel investors
What fees and responsibilities should an angel clarify in an SPV for a healthcare software startup?
a healthcare software startup: An SPV adds a vehicle and operating arrangement that deserve separate attention from the underlying company.
Read the guide →181 / Limited partners
What operational evidence should an LP request from a sector specialist venture fund?
a sector specialist venture fund: Operational diligence asks who performs the work, what controls exist, and what evidence supports them.
Read the guide →182 / Scouts
How can a scout keep a useful evidence trail for a healthcare software startup?
a healthcare software startup: Maintain an evidence trail that records relationship context, consent, source dates, introductions, and milestone changes.
Read the guide →183 / Fund managers
How can a sector specialist venture fund explain its operating responsibilities to LPs?
a sector specialist venture fund: Explain operating responsibilities through actual work and authority.
Read the guide →184 / Founders
How to evaluate data advantages for AI developer APIs
AI developer APIs: Evaluate a data advantage through access rights, uniqueness, quality, relevance, and feedback loops.
Read the guide →185 / Angel investors
How can an angel distinguish references from independent evidence for an early marketplace startup?
an early marketplace startup: Distinguish a source's direct observation from their opinion, inference, or relationship with the company.
Read the guide →186 / Limited partners
How can an LP examine GP commitment and alignment at a generalist venture fund?
a generalist venture fund: Examine alignment through the actual economics, decision responsibilities, constraints, and conflicts.
Read the guide →187 / Scouts
How can a scout demonstrate domain expertise when reviewing an early marketplace startup?
an early marketplace startup: Demonstrate domain knowledge through better questions, relevant evidence, and a clear account of uncertainty.
Read the guide →188 / Fund managers
How can a generalist venture fund track unresolved LP questions during fundraising?
a generalist venture fund: Track unresolved LP questions as an evidence workflow rather than a sales-pressure queue.
Read the guide →189 / Founders
How to connect a fundraising ask to the next milestone for AI workflow automation
AI workflow automation: Connect the financing ask to a milestone that changes the company's evidence or capability.
Read the guide →190 / Angel investors
What downside scenarios should an angel investigate for a hardware startup?
a hardware startup: Investigate downside through concrete failure paths and dependencies rather than a generic risk list.
Read the guide →191 / Limited partners
What allocation and conflict questions should an LP ask a micro venture fund?
a micro venture fund: Ask how the manager allocates opportunities, expenses, and attention among funds, SPVs, personal holdings, and related relationships.
Read the guide →192 / Scouts
How can a scout develop a sourcing thesis around a hardware startup?
a hardware startup: A sourcing thesis explains which founders and problems a scout can encounter and understand through a real network.
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