# Felix T.

Felix Tseitlin writes about AI-driven shopping and agentic commerce. Their posts describe building a commerce platform at Rezolve AI, where AI agents help people find and buy products.

- Profile: https://b2binfluencer.marketing/creators/felix-t/
- LinkedIn: https://www.linkedin.com/in/felixtseitlin
- LinkedIn followers: 3,690
- Topics: artificial-intelligence, ecommerce, agentic-commerce
- Based on 11 dated posts, latest 2026-08-05

## Summary

Felix is useful for making a practitioner case for agentic commerce and AI discovery to commerce and payments teams.

- Best for: A B2B commerce infrastructure campaign needing a named practitioner point of view.
- Not for: Consumer packaged-goods grocery or supplement launches seeking shopper purchase intent at volume.
- Check first: Confirm their audience demographics, engagement data, sponsorship policy, and intended partnership route.

### Takeaways

- Shoppers face too many choices, so AI agents should cut 1,847 results to one recommendation.
- Protocols x402, AP2, MCP, and Verifiable Intent are part of agentic commerce discussions.
- Remaining obstacles include cross-ecosystem trust, dispute responsibility, and merchant adoption.

## Main ideas

- **Shoppers need fewer decisions, not more options**: Across the posts, Felix Tseitlin argues that e-commerce has spent decades expanding choice while ignoring the cost of choosing. They cite the jam study, where shelves with 24 options produced far fewer purchases than shelves with 6, to argue that the industry scaled decision fatigue into a huge market. E-commerce conversion rates still sit at a few percent despite thirty years of optimisation, they note, and the goal should be to remove the need to browse rather than build a better search box.
- **The rails for agentic commerce are already built**: Felix Tseitlin argues that the infrastructure for AI agents to buy on someone's behalf has moved from theory to live systems. They cite named launches and standards: Mastercard and Google's Verifiable Intent trust layer for proving a human authorised an agent purchase, Google's Universal Commerce Protocol co-developed with major retailers, Stripe and OpenAI's Agentic Commerce Protocol running live transactions, and a reported 15x rise in AI-powered Shopify orders since January 2025. The remaining gap, they argue, is perceptual: infrastructure has advanced faster than most people's understanding of it.
- **The remaining work is adoption and cross-ecosystem trust, not new protocols**: One post separates protocol progress from commerce reality. Payments, identity and trust are often listed as blockers, it argues, even though x402, Stripe and PayPal agent SDKs, Google's AP2, MCP with OAuth 2.1, and DIDs inside EU eIDAS 2.0 wallets already exist. The remaining bottlenecks are cross-ecosystem trust: an agent on one model provider cannot easily act for someone whose other agent runs elsewhere, and no neutral registry vouches for an agent's identity or spending limits; dispute resolution: no legal framework decides whether a bad agent purchase is charged back to the merchant, the model provider or the agent runtime; and adoption: MCP server use is growing internally, but almost none of it is customer-facing. The post describes Rezolve's work as the adoption surface, not a new set of protocols.
- **Personalization should work like a live instructor, not a catalogue filter**: Felix Tseitlin describes conversational commerce as real-time adaptation: someone watches what the customer does and adjusts the next option, instead of presenting a table of products with sort and filter controls. The intended experience is one sentence from the buyer, maximum context extracted, and the right product served in a conversation rather than a catalogue dump.

## Work to read

- [Eight years of saying AI would change commerce, from a 2017 promise to live protocol launches](https://www.linkedin.com/posts/felixtseitlin_in-2017-i-told-my-friends-i-was-going-all-in-activity-7439644981889449985-WK51)
- [Where agent-to-agent commerce actually stalls: cross-ecosystem trust, disputes, adoption](https://www.linkedin.com/posts/felixtseitlin_everyone-says-agent-to-agent-commerce-is-activity-7462126563195658240-eRcz)
- [The 3,300% statistic and the 91% it hides](https://www.linkedin.com/posts/felixtseitlin_agenticcommerce-ai-ecommerce-activity-7434587896713584640-dd7Z)
- [1,847 protein powders and a closed tab](https://www.linkedin.com/posts/felixtseitlin_i-opened-amazon-last-week-to-buy-protein-activity-7437100419496972288-b3pp)
- [The Las Vegas shooting instructor as a model for conversational commerce](https://www.linkedin.com/posts/felixtseitlin_ai-rezolveai-conversationalcommerce-activity-7445174661153402880-xbo_)

## Brand relationships

- **Rezolve AI** (employment)

## Partnerships

Felix Tseitlin's posts do not describe a sponsorship or partnership offer. The five posts examined — published between March 3 and May 18, 2026 — are written as first-person commentary on agentic commerce, and each one closes by naming Rezolve AI as the platform Felix Tseitlin works on ("what we're building at Rezolve AI," "at Rezolve," "the wedge we work on at Rezolve"). That is an operating role in a commerce vendor, not a disclosed advertising or sponsorship arrangement, and the phrase "at Rezolve" describes where the work happens rather than a paid placement. No post carries a paid-partnership or sponsored-content label, no brand is thanked as a sponsor, and no rate card, media kit, audience deck, or partnership inquiry address appears in the posts here. A brand planning a campaign should treat this as an absence of an advertised offer, not as proof that Felix Tseitlin never accepts sponsorship work; the posts simply do not say either way. The practical next step is direct outreach through the LinkedIn account already listed in the identity section, and any commercial terms would have to be established in that conversation rather than read off this page.

## Alternatives

- Tom Shivers: Choose Tom Shivers when the campaign's job is to get merchants to ship changes, not debate where the market is heading. The two posts offer implementation guidance: one walks through OpenAI and Stripe's Agentic Commerce Protocol—what it enables inside ChatGPT and a five-step retailer list covering structured product feeds, checkout endpoints, delegated payments, and clean pricing and inventory logic. The other turns Google's Universal Commerce Protocol into a short action list: fix product feeds, strengthen the brand entity and schema, publish citable content, and make payment, fulfilment, and policies machine-readable. That is the right shape when the platform sells the integration, the audience is e-commerce operators who have to act this quarter, and the standard being adopted is already the platform's own. Felix T. argues the whole market's adoption gap and leaves the mechanics to the reader; Shivers starts with the mechanics.
- Liam J.E Gerada: Choose Liam J.E Gerada when the conversation is with payments, risk, and finance leads rather than e-commerce product owners, and the campaign is about the economics of agent-initiated transactions. The reviewed work breaks down a merchant's processing rate with worked arithmetic: an operator processing $110M a year believed they paid 2.9% + 30¢, but their blended rate came to just over 4.3%, or about $1.54M a year against gross margin. It then makes the agentic argument directly: when software initiates the transaction, software also reads the fee schedule, so opaque pricing stops being a moat and becomes a liability. The second post extends that into a position on consent, arguing that approval has to move from the individual transaction up to the relationship, and that merchants and agent developers will ultimately want a settlement layer with no stake in what gets bought. That is a ready-made case if the platform sells a checkout or payment layer and wants an argument about fee schedules and neutrality.
- Sharon Gai: Choose Sharon Gai when the campaign needs one explainer covering payment rails and discovery for a retail audience still deciding whether to prepare. One post surveys emerging agentic payment protocols in a numbered list—Google's Agent Payments Protocol, Mastercard's Agent Pay, Visa's Trusted Agent Protocol, PayPal's agentic commerce platform—and closes with the practical imperative for agent-ready brands to design storefronts, APIs, and product data so agents can understand, trust, and transact with them. The other moves from a consumer-behaviour example to how the different layers of agentic commerce will work, then points to a previous article on getting discovered by answer engines. That makes it the useful choice if the platform wants a single partner to hold the discovery-to-checkout story. It is also better for entry-level trend framing than for a technical audience.

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AI-assisted summary of public posts. Audience demographics are not available. Engagement appears only where we checked recent posts. Method: https://b2binfluencer.marketing/methodology/