Method · MoneyThe host describes the 10K collections agent's actual workflow. When a contract is signed, the agent reads the contract to check whether a finance person is listed in addition to the line-of-business contact. If a finance contact is listed, it emails the line-of-business person as primary and CCs the finance contact; if not, it uses enrichment lookups to find who in finance should be copied, and if it cannot find a direct contact, it guesses common finance inbox addresses like AP@ or finance@ at the company domain. It sends invoices to multiple contacts — CCing the contract signer by default for visibility, plus the deal POC, the finance person, and the line-of-business owner (four contacts total) — within 10 to 30 minutes of the deal closing rather than days later. The agent scans thehost
Described by the host about his own agent; the payment platform name may be transcribed incorrectly ('bell.com' likely 'bill.com').
Method, not a verified protocol.
The Official SaaStr Podcast: SaaS | Founders | Investors · SaaStr 880: Agent Pricing is Chaos. Here's What We're Seeing From the Buyer Side. (The Agents #015)
Method · Money10K's collections workflow: it automatically sends the invoice to the right point of contact within 10 to 30 minutes of the deal closing; it reads the signed contract to check whether a finance person is listed alongside the line of business contact and sends invoices to multiple finance contacts, not just one; it CCs the contract signer by default so the signer has visibility on invoice status; it scans the speaker's inbox rather than using its own inbox so it can see any blockers; at the one-week mark it asks if the customer has any questions about processing the invoice and sends wiring information plus instructions for paying via Bill.com; it repeats the same outreach the following week until it gets a response, then escalates frequency; it is relentless about checking collections and,
Steps are described by the host about a third-party product; several atoms carry possible_numeric_error flags on timing details.
Method, not a verified protocol.
The Official SaaStr Podcast: SaaS | Founders | Investors · SaaStr 880: Agent Pricing is Chaos. Here's What We're Seeing From the Buyer Side. (The Agents #015)
Recommendation · MoneyInstead of trying to evaluate entire workflows from start to finish in synthetic benchmark environments — which is noisy, expensive, and difficult to reproduce consistently — Flywire's evaluation harness isolates individual LLM steps. By injecting exact historical state and context directly into specific workflow nodes, they can evaluate model output quality. This lets them measure prompt adjustments and catch performance regressions quickly and cost-effectively.
AI Engineer · Agents in Orbit: Workflows, Not Autopilot — Eduardo Simon & Javier Casal, Flywire
Recommendation · FuelThe recommendation, directed at the audience, is to ensure adequate micronutrients, essential fatty acids, vitamins, minerals, and protein relative to calorie intake in order to protect the memory system. This follows from the principle that a skewed micronutrient-to-calorie ratio harms memory.
Recommendation derived from the discussed principle; specific thresholds are not given.
Andrew Huberman · How Food Choices Shape Memory, Cognition & Cravings | Dr. Scott Kanoski
Recommendation · FuelMaintaining a healthy dietary pattern throughout life is more important for brain health than switching to a healthy diet only after cognitive symptoms arise; switching only once problems appear is less effective for protecting against dementia.
Andrew Huberman · How Food Choices Shape Memory, Cognition & Cravings | Dr. Scott Kanoski
Recommendation · FuelDr. Kanoski argues that a healthy dietary pattern should be maintained throughout life rather than switching to healthy eating only after cognitive symptoms arise. The link between diet and dementia is prospective rather than something that can be dealt with once symptoms arise.
creator's judgment, endorsed
Andrew Huberman · How Food Choices Shape Memory, Cognition & Cravings | Dr. Scott Kanoski
Recommendation · MoneyKim Maida advises keeping access tokens ephemeral — they should expire within minutes and never be stored. Storing tokens instead undermines the security model.
AI Engineer · Your Agent Is a Lethal Trifecta (And What to Do About It) — Kim Maida, Keycard
Recommendation · MoneyAccording to Nnenna Ndukwe, a plan should answer: what behavior are we changing, which rules apply, what skills would guide the agent, which tests prove the expected behavior, and what kind of quality gates should pass before review. The planning template should identify the expected behavior and the skills to use for implementation, and the more detailed and structured the planning document is, the more the agent will adhere to the critical points of the process.
AI Engineer · How to Build Quality Gates into Agentic Coding Workflows — Nnenna Ndukwe, Qodo AI
Recommendation · MoneyNnenna Ndukwe uses ruff, pyright, bandit, pytest, semgrep, and conventional commits as local verification gates providing deterministic evidence that changes preserve the local contract. After the coding agent implements the change, run local gates with linters and static analysis, combining deterministic checks with AI review.
AI Engineer · How to Build Quality Gates into Agentic Coding Workflows — Nnenna Ndukwe, Qodo AI
Recommendation · MoneyThe speaker advises the audience to sanitize inputs — for example, run a sanitization function on the URL — before executing them in code.
AI Engineer · AI Security Engineer Foundations + Certificate — Javier Garza, Snyk
Recommendation · MoneyJavier Garza recommends verifying that a package exists and detecting names similar to popular packages (typosquatting detection), since supply chain attacks have used typos in package names to create fake packages and a developer's typo could install malware.
AI Engineer · AI Security Engineer Foundations + Certificate — Javier Garza, Snyk
Recommendation · MoneyJavier Garza advises sanitizing URL parameters before executing curl commands to prevent command injection: if the URL is not sanitized, an attacker could put any URL they want or use URL encoding to get curl to do things that are not intended. He also describes path traversal via dot-dot-slash URL encoding, which can expose sensitive files like php.ini containing database passwords, and recommends disallowing dot-dot sequences in URLs and requiring URL encoding to prevent path traversal.
AI Engineer · AI Security Engineer Foundations + Certificate — Javier Garza, Snyk
Recommendation · MoneyShubhankar Srivastava recommends a three-layer defense against prompt injection: control queries as they enter the surface area, verify at the skill layer (make sure the skill is not tricked), and restrict at the infrastructure layer with network restrictions and action restrictions. He encourages customers to build prompt injection guardrail surface area before instructions reach the agent, and works with customers to build the right kind of guardrails before the instruction even reaches the harness.
AI Engineer · Hill-Climbing Skills: Improve Agents Without Changing the Model — Shubhankar Srivastava, Browserbase
Recommendation · MoneyDan recommends setting higher error tolerance targets in autonomous environments with no human in the loop — the job should be perfect or cancelled — while around 60% error tolerance may be acceptable in human-to-AI collaboration where a human makes the final decision.
AI Engineer · https://www.youtube.com/watch?v=PwCSYy-oGsM
Method · MoneyObtain a Bright Data API token and follow the Google Drive setup instructions, load your API keys, call Bright Data's API endpoint to collect Amazon product-level data (price, images, URLs, rating, features), trigger a Reddit keyword search for the product to capture reviews and community sentiment, then perform AI analysis over the combined raw responses to generate a purchase decision synthesizing discount level, review sentiment, demand, and stock status.
stated
Method, not a verified protocol.
AI Engineer · https://www.youtube.com/watch?v=IK8cC4FScps
RecommendationEither enable Signal and go deep yourself, or use Claude Code with the Arize skills to do the investigation for you. Claude Code with Arize trace skills is the on-demand method for an engineer continuously improving their product, while Signal is the always-on continuous method.
endorsed
AI Engineer · Building Self-Learning Loops for Your Agent — Fuad Ali, Arize AI
Method · MoneyA seed-generation method: collect Wikidata hops, insert them into the prompt as the seed entity, and ask the model to come up with a question using any or all of the seed entities. The seed data creation is a deterministic algorithm, while tool calls and agentic search trajectories are created after the question exists. Dhruv notes you can come up with a better way of creating seed data than the Wikidata hop approach.
Method, not a verified protocol.
AI Engineer · Teaching Agents to Search with NVIDIA Data Designer — Dhruv Nathawani, NVIDIA
Method · MoneyNathawani walks through a locally coherent setup sequence: install Data Designer via pip, set up the environment and import Data Designer, then call the config builder with a seed dataset to start a workflow. Seed data can be your own company data.
Method, not a verified protocol.
AI Engineer · Teaching Agents to Search with NVIDIA Data Designer — Dhruv Nathawani, NVIDIA
Method · MoneyAfter a question exists, ask the model to create a response using the agent solution raw from the second notebook; the agent does a bunch of tool calls, reasons about the question, and tries to find the answer on the internet. Golden responses are generated by Data Designer using the model you choose — in the workshop, GPT OSS 120B.
Method, not a verified protocol.
AI Engineer · Teaching Agents to Search with NVIDIA Data Designer — Dhruv Nathawani, NVIDIA
Recommendation · MoneyYoni Michael recommends proving an agent does what you think and that your tool beats existing tooling by building evals: set up a treatment agent with the new graph tools and a control agent with the same model plus file-system probing tools (maintained by Pydantic), and build a corpus of eval questions where each question is a real task — including questions good for the graph, questions great for grep, and control questions good for both.
AI Engineer · The Data Context Layer for Agents — Yoni Michael & Brandon Callender, Typedef