← Back to home
Comparison · ai-assistants

Alhena AI vs recipes

A side-by-side editorial comparison of Alhena AI and recipes — release velocity, themes, recent moves, and the top alternatives to consider.

Alhena AI vs recipes: at a glance

FeatureAlhena AIrecipes
Sectorai-assistantsai-assistants
Velocity score5.00.0
Sparks · 30d00
Top themesagentic-commerce, benchmark-research, ai-visibility, retail-aitidymodels, preprocessing, sparse-data, deprecations
Last editorial update1d ago6d ago
WebsiteVisit →Visit →

What is Alhena AI?

Alhena is building the scoreboard for shopping agents it also competes in.

The feed has consolidated around one piece of original research: a 2026 stress test running fifteen live AI shopping agents through real storefronts as ordinary shoppers. The headline numbers repeat across several posts — all fifteen could answer questions, nine could sell, four could complete a return or order change, and one remembered the shopper on a return visit. Around that sit vertical censuses of who is actually live in health and wellness retail, an attribution model for measuring agents, and comparison pages against AI visibility platforms including Profound.

Read the full Alhena AI trajectory →

What is recipes?

tidymodels' preprocessing engine learned sparsity, then settled into deprecations.

recipes is at 1.3.3, whose entire changelog is one suggested-package declaration. The substantive release in the window is 1.2.0, which taught recipe, prep and bake to work with sparse tibbles and sparse matrices, added a sparse argument to eight dummy and indicator steps, and made seventeen more steps preserve sparsity they receive. Since then the work has been deprecations and bug fixes.

Read the full recipes trajectory →

Alhena AI vs recipes: editorial side-by-side

A
Alhena AI
AI-ASSISTANTS
5.0

Alhena is building the scoreboard for shopping agents it also competes in.

◆ Current state

The feed has consolidated around one piece of original research: a 2026 stress test running fifteen live AI shopping agents through real storefronts as ordinary shoppers. The headline numbers repeat across several posts — all fifteen could answer questions, nine could sell, four could complete a return or order change, and one remembered the shopper on a return visit. Around that sit vertical censuses of who is actually live in health and wellness retail, an attribution model for measuring agents, and comparison pages against AI visibility platforms including Profound.

◆ Where it's heading

Alhena is defining the category's measuring stick and choosing metrics where most competitors fail — acting rather than answering, and remembering across sessions. Publishing a dated census that separates shipped assistants from announced intent serves the same purpose: it establishes Alhena as the arbiter of what counts as live. The vertical focus on supplements and wellness, with its FDA claims boundary and subscription economics, looks like a deliberately chosen beachhead rather than broad retail coverage.

◆ Prediction

Expect the stress test to become a recurring dated benchmark with more agents and more verticals, and for the act-and-remember gap it identifies to be positioned as what Alhena's own product closes.

R
recipes
AI-ASSISTANTS
0.0

tidymodels' preprocessing engine learned sparsity, then settled into deprecations.

◆ Current state

recipes is at 1.3.3, whose entire changelog is one suggested-package declaration. The substantive release in the window is 1.2.0, which taught recipe, prep and bake to work with sparse tibbles and sparse matrices, added a sparse argument to eight dummy and indicator steps, and made seventeen more steps preserve sparsity they receive. Since then the work has been deprecations and bug fixes.

◆ Where it's heading

The direction is consolidation of a large step catalogue rather than growth. step_select and step_nnmf have entered deprecation, arguments across nine steps moved from strings and vars() calls to bare names, and all steps now require the same four arguments. The sparse work stands as the last structural change; what follows tidies the surface around it.

◆ Prediction

With step_select mid-deprecation and step_nnmf newly deprecated in favour of step_nnmf_sparse, the next release most likely advances those deprecations rather than adding steps.

Alternatives to Alhena AI and recipes

Other ai-assistants products tracked by Sparkpulse, ranked by recent ship velocity. Each card links to a full editorial trajectory and lets you pivot into a head-to-head comparison with either Alhena AI or recipes.

See all Alhena AI alternatives → · See all recipes alternatives →

Recent activity from Alhena AI and recipes

Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.

  1. 1d agoAlhena AIDo AI Shopping Assistants Remember You? Only 1 in 15 does
  2. 4d agoAlhena AIWhy Can't My AI Agent Complete a Return? Inside the answer-to-act gap
  3. 6d agoAlhena AIThe State of Agentic CX in 2026: Why AI Shopping Agents Answer in Unison but Act Alone
  4. 20d agoAlhena AIWho's Actually Live: AI Assistants in Health & Wellness Retail (July 2026)
  5. 25d agoAlhena AIMeasuring AI Agents for Wellness Brands: Benchmarks and an Honest Attribution Model
  6. 25d agoAlhena AIThe Wellness Brand's AI Agent Playbook: Knowledge, Guardrails, and Subscriptions
  7. 2mo agorecipesDeclares mixOmics as a suggested package
  8. 4mo agorecipesstep_nnmf() deprecated in favour of step_nnmf_sparse()
  9. 1y agorecipesFixes tune_args() with tuned parsnip arguments
  10. 1y agorecipesBare-name arguments across nine steps; step_select() deprecated
  11. 1y agorecipesFixes sparsity steps applied to derived variables
  12. 1y agorecipesSparse tibbles and sparse matrices supported end to end

Frequently asked questions

What is the difference between Alhena AI and recipes?

They serve adjacent needs but don't currently overlap on shipped themes. Alhena AI is currently shipping more aggressively (velocity 5.0 vs 0.0), with 0 editorial sparks in the last 30 days against 0. See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.

Is Alhena AI better than recipes?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Alhena AI is currently shipping more aggressively (velocity 5.0 vs 0.0), with 0 editorial sparks in the last 30 days against 0. For your specific use case, the alternatives sections above list other ai-assistants products to evaluate alongside.

What are the best alternatives to Alhena AI?

Top Alhena AI alternatives in ai-assistants are ranked by recent ship velocity. Browse the "Alhena AI alternatives" section above for the current picks, or visit /alternatives/alhena for the full list with editorial commentary on each.

What are the best alternatives to recipes?

Top recipes alternatives in ai-assistants are ranked by recent ship velocity. Browse the "recipes alternatives" section above for the current picks, or visit /alternatives/recipes for the full list with editorial commentary on each.