Guest
$0 / with a Kodiac account
Create a free account and try the workbench.
- About 5 research chats per day
- Light and Normal modes
- No Heavy mode access
- Compound mechanism, PK, sourcing
- Usage tied to your account
BEFORE YOU ENTER
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Peer-level pharmacology depth. Your private literature, indexed and cited. Compound profiles, stack analysis, COA tracking, vendor records, and daily protocol logging in one connected research environment. Built by Kodiac, for the researchers Kodiac was built for.
Existing Kodiac customers get first access. Use the email on your order to skip the queue.
ACCESS
A free Kodiac account gets you about five research chats a day on Light and Normal modes. Subscribers get monthly quotas tied to their account and run Claude Opus 4.8. Heavy mode (Claude Opus 4.8 at maximum reasoning effort) is reserved for the Fellow and Principal tiers.
Guest
$0 / with a Kodiac account
Create a free account and try the workbench.
Associate
$10 / month
Entry tier for casual research questions.
Fellow
$25 / month
The standard tier for working researchers.
Principal
$100 / month
For deep multi-compound research programs.
Each tier covers one calendar month of access. Quotas reset on the first of each month UTC.Sign in to keep your usage tied to your account.
Concise and direct. Skip mechanism deep-dives unless explicitly asked. One to three short paragraphs or a brief structured answer. Quick reference work and fast consults.
MAX OUTPUT · 1500 TOKENSDefault working mode. Mechanism and reasoning when it informs the answer. Cites compounds, doses, half-lives, and receptor targets when relevant. The everyday research consult.
MAX OUTPUT · 6000 TOKENSExhaustive. Full mechanistic analysis with receptor subtype specificity, dose-response data, PK and PD considerations, half-life, and stack interactions. Mines non-English literature where relevant: Russian peptide bioregulator work, Chinese pharmacology, Japanese neuroscience. Surfaces obscure and orphan compounds in the same class. Cites primary sources. Treats the user as a peer-level analyst.
MAX OUTPUT · 16000 TOKENS · MAX EFFORTUpload your research literature once. PDFs, DOCX, TXT, Markdown, images. The library ingests, parses, chunks, and embeds every file. Hybrid retrieval combines vector similarity with keyword matching across your entire corpus. Every assistant answer cites the exact source document and page so you can verify the claim against the primary source it came from.
Per-message uploads via a paperclip in the input bar. PDF, DOCX, TXT, Markdown, PNG, JPG, JPEG. Multi-file selection. Uploaded files appear as chips above the textarea with filename, size, and a remove control. Files are ephemeral by default. Promote any attachment to your persistent library with one click.
A sliders-icon dropdown next to the input bar controls per-message behavior. Switch Research Effort modes. Send the previous assistant turn to a structured note. Apply a saved prompt persona for the next message or the rest of the conversation. Toggle library retrieval on or off for the next message.
Send any assistant turn to Notes. The system extracts a title, a 2 to 4 sentence summary, full content, source conversation link, compound tags, and timestamps. Notes are embedded for retrieval, so they surface in chat the same way library files do. Cross-linked to the compounds they discuss.
Every compound that has ever been tagged in your library or notes gets its own profile page. The system synthesizes a summary from every chunk in your corpus tagged with that compound: mechanism, half-life, literature dose window, receptor targets, common references, sourcing notes. Manual notes section for your own annotations. Linked sources, linked notes, sourcing records, and full COA history. Names are normalized so BPC-157, bpc157, and BPC 157 collapse to one entry.
Select compounds from your library. The system pulls relevant retrieval chunks for each one, runs an interaction analysis across them, and surfaces synergies, redundancies, contraindications, and pharmacokinetic conflicts. Every claim cites the source document the conclusion came from.
Upload a Certificate of Analysis PDF. The system extracts purity percentage, identity confirmation, flags, analyst, date, and batch identifier. Linked to the relevant compound. Builds a COA history per compound so you can compare batches over time. The file itself goes through the standard library ingestion pipeline so it is also retrievable in chat.
Structured records for raw-powder, packaging, equipment, and analytical vendors. Per-vendor metadata: website, contact methods, lead time, payment methods, quality tier. Quote history. Order history with QC outcomes. Attached COA records. Free-text notes. The institutional memory of your supply chain.
Calendar-view research logs with structured fields: compounds under study with concentration, unit, and schedule. Observation notes. Assay readouts. Experimental conditions. Free text. Every entry is embedded on save. A natural-language query bar lets you ask questions like "what did I observe the week I added 9-Me-BC" and the system retrieves relevant entries by semantic similarity and date range.
Saved prompt personas with optional default Research Effort, default library setting, and default compound tags. Apply a persona for a single message or the rest of the conversation. Build the prompts that match the kind of work you do, and stop typing them again.
Compare any two of: compounds, stacks, vendor quotes, notes, protocol log entries. Side-by-side rendering with an LLM-generated key-differences summary at the top. Useful when you cannot remember why one stack worked and the other did not.
Mechanism and PK comparison of phenylpiracetam vs nefiracetam, with non-English literature where relevant.
Phenylpiracetam (carphedon) is a phenylated piracetam derivative active at NMDA, AMPA, GABA-A, and nicotinic acetylcholine receptors, with added dopamine and norepinephrine transporter modulation [1]. Nefiracetam acts more selectively as an AMPA-mediated long-term potentiation enhancer and sensitizes nicotinic acetylcholine receptors at low concentrations [2]. Both modulate glutamatergic signaling; the receptor breadth diverges materially.
Phenylpiracetam shows rapid absorption and a plasma half-life near 3 to 5 hours [3]. Nefiracetam runs longer, roughly 5 to 8 hours, with slower onset and cumulative effects reported across multi-week dosing in the Japanese literature [2].
Racetam, phenyl derivative
Racetam, pyrrolidinone
Phenylpiracetam presents as stimulant-adjacent with measurable acute output and faster tolerance onset. Nefiracetam presents as a slower cognitive-load tool with a cleaner published side-effect profile. The shared AMPA modulation makes co-administration largely redundant in the research literature [1][2].
Static capture. Heavy mode on the Scholar tier. The live workbench streams responses token by token and renders charts, timelines, and comparison cards inline.
| General AI | Kodiac Scholar | |
|---|---|---|
| Mechanism depth | Surface-level summaries | Receptor subtype, dose-response, PK/PD |
| Citations | Rare or none | Every claim cited to your library |
| Posture | Patient-directed | Investigator-directed (RUO) |
| Library | None | Your private indexed corpus |
| Compound profiles | None | Auto-generated, editable |
| Non-English literature | Rarely surfaced | Mined when relevant |
| Vendor and protocol records | None | Built in |
| Compare tool | None | Side by side with diff summary |
Every file, note, and compound has a visibility flag: private or published. The platform is built first for private research workflows. A published-research layer is planned for verified Kodiac customers. Your private corpus stays private.
Existing Kodiac customers are prioritized. Use the email on your most recent Kodiac order to skip the queue. New researchers welcome.