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AI Ops · Agents

Agents

Each agent has one job. They run in a fixed order set in code, from the deck read to the memo. Each one below covers what it does, the tools it uses and its edge cases.

Doc Intelligence

Claude Sonnet 5.5Every run

Reads the deck and the website and turns them into one structured record that every later agent works from.

What it does
  • Extracts the problem, product, traction, business model, funding, sector, location, key metrics, deal terms, claimed market size and any competitors the deck names.
  • Records which sources it could read.
  • On re-analysis, reuses the previous extraction if the deck hasn’t changed.
Tools
Firecrawl
Edge cases
  • No readable content from the deck or the site: the run stops and the deal is held for a person.
  • Canva and DocSend links are read by our own extractor, including DocSend folders of several files. Multi-column and scanned PDFs get a slower second pass when the first returns too little.
  • No website supplied: the founder’s email domain is tested as the company domain, and used for research only.

Pre-screening gate

Claude Sonnet 5.5New deals

Checks the deal against our investment mandate before the slower, costlier research runs. It can recommend a pass, but only a partner can decline a deal.

What it does
  • Checks the mandate rules: stage (pre-seed to Series A), round size (under $20M), an Australian connection, and whether it’s a technology business rather than direct-to-consumer or e-commerce.
  • Notes warning signs, like a solo founder, no revenue yet, a crowded market or a valuation ahead of the stage. A warning sign becomes a question for the founder and lowers the score, but never ends a deal on its own.
  • A recommended pass goes to a partner in Slack. If they disagree, the run picks up where it stopped.
Edge cases
  • An exceptional founder based overseas. Location is one of the mandate rules, so a partner reviews every pass the gate recommends.
  • Too many deals come back as more info. Recalibrated in October 2026, and still being worked on.

Founder Intel

Claude Sonnet 5.5New deals

Researches every founder’s career and checks it against what the deck says about them.

What it does
  • Finds each founder’s professional history and interests, with sources.
  • Flags any mismatch between the deck’s story and the public record.
  • Runs alongside Market Trends and Enrichment.
Tools
RenidlyWeb search
Edge cases
  • Someone else with the same name. A profile that doesn’t match the deck is reported as a mismatch and not used.
  • The insider with no conventional CV, whose strength doesn’t show up on a CV.

Competitive Intel

Claude Sonnet 5.5New deals, and re-analysis when needed

Finds competitors from its own searches, once the market research is done. It starts from the competitors the deck names but doesn’t stop there.

What it does
  • Finds competitors and their recent funding, with sources.
  • Uses at least two of the company name, domain and sector in every search, so it doesn’t drift onto a different company.
Tools
PerplexityFirecrawl
Edge cases
  • With no Doc Intelligence record to search from, it marks itself skipped instead of failing.

Synthesis A

Claude Opus 5.5Every run

Reads everything the earlier agents produced and drafts the memo.

What it does
  • Rates every criterion strong, adequate or weak, with the evidence, grouped by category.
  • Pulls the five most similar past deals as comparables.
  • Lists the red flags, the warning signs, what it couldn’t verify and an interview agenda, and recommends proceed, pass or more info.
  • Code, not the model, turns the ratings into the score.
Tools
pgvectorSupabase
Edge cases
  • If founder, market and competitor research all failed, it doesn’t run, and the run is logged as failed.
  • Given a middle option, a model takes it, so too many deals come back as more info. Not solved yet.

Synthesis B

Claude Opus 5.5Every run

Checks the draft memo against its sources before it’s saved, so a partner never reads an unchecked memo.

What it does
  • Re-reads the draft against the original documents and every agent’s output.
  • Flags any claim the sources don’t support, like a citation pointing to a page that doesn’t say what the memo claims.

AI committee

One model, four agentsEvery run

In an investment committee the outlier view gets talked down to the median one, and at seed the outlier is often the deal. This committee argues every deal from four opposed positions, some modelled on the reasoning of investors we respect.

What it does
  • The sceptic hunts for the reason to pass. The optimist looks for the upside. The futurist asks where the world goes if it works. The operator checks whether it can be built.
  • Returns where they agree, the dissent that didn’t resolve, and a next step.

Meeting briefing

Claude Sonnet 5.5Every run

Lays the analysis out as the memo a partner reads. It formats what the earlier agents found and adds no reasoning of its own.

What it does
  • Writes the memo into Attio as a Company Profile and Briefing Notes, with its score. Every earlier draft is kept.
  • Formats it for the stage: discovery call, founder interview, or the investment recommendation report for committee.
  • Posts it to Slack.
Tools
AttioSlack

New context

Claude Sonnet 5.5Re-analysis only

When new material lands on a deal, it pulls out the facts, so the rest of the run can weigh them against the deck.

What it does
  • Turns call transcripts, notes, emails, attached files and the deal team’s Notion notes into structured facts.
  • Merges them with last time’s, or reuses the earlier result if nothing has changed. Then market and competitor research are skipped, except before investment committee.
Tools
AttioNotion
Edge cases
  • The founder’s account, the research and our own read often disagree. Every claim keeps its source and a partner decides who to believe.

Enrichment

New deals

Finds the founders’ contact details, so the record is complete before a partner picks it up.

What it does
  • Checks a series of data providers in turn and stops at the first good answer.
Tools
FullEnrich